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@ -60,32 +60,165 @@ List<OptionTree> optionTreeList = TreeUtil.build(deptList,OptionTree.class,(conf
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- mapper其余字段关系映射
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- exclude排除字段
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## common-feign
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对openfeign进行基础的配置,比如让OpenFeign 使用 OkHttp 配置类,以及Ribbon做rpc的负载均衡
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## common-dubbo
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对dubbo的基础依赖
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## common-log
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自定义操作日志模块,完成使用自定义注解实现操作日志的记录
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```javascript
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@ApiOperation("新增部门")
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@PostMapping
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@PreAuthorize("@ss.hasPermission('admin:dept:add')")
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@Log(title = "新增部门",businessType = BusinessType.INSERT)
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public Result<Void> add(@RequestBody @Validated Dept dept){
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if (UserConstants.DEPT_DISABLE.equals(deptService.checkDeptNameUnique(dept))){
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return Result.error("新增部门: "+ dept.getDeptName() +"'失败,部门名称以存在!");
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}
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deptService.saveDept(dept);
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return Result.ok();
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@ApiOperation("新增部门")
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@PostMapping
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@PreAuthorize("@ss.hasPermission('admin:dept:add')")
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@Log(title = "新增部门",businessType = BusinessType.INSERT)
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public Result<Void> add(@RequestBody @Validated Dept dept){
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if (UserConstants.DEPT_DISABLE.equals(deptService.checkDeptNameUnique(dept))){
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return Result.error("新增部门: "+ dept.getDeptName() +"'失败,部门名称以存在!");
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}
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deptService.saveDept(dept);
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return Result.ok();
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}
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```
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通过LogAspect实现当前注解的apo切面,切面中将操作的日志封装成一个操作日志对象,然后使用spring的事件发布机制发布这个日志操作对象,再使用OperationLogListener异步监听到发布的事件,再通过rpc远程调用到umps中的日志存储接口,将当前对象落地到数据库
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`@Log`注解参数说明
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|参数 | 类型 | 默认 | 描述|
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| :-- | :-- | :-- | :-- |
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| title | String | 空 | 日志记录名称 |
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| businessType | BusinessType | OTHER | 功能,具体操作有 OTHER,INSERT,UPDATE,DELETE,GRANT,EXPORT,IMPORT,FORCE,GENCODE,CLEAN,BIND |
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| operatorType | OperateType | MANAGE | 操作人类别 |
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| isSaveRequestData | boole | 空 | 是否保存请求的参数 |
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## common-mybatis
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对mybatis的基本分页功能进行封装
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为了更加方便的使用系统分页,我们对mybatis的pageHelper做了一些封装
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### PageUtils类
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```javascript
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/**
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* 分页工具类
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*
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* @author Clay
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* @date 2022/10/30
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*/
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public class PageUtils extends PageHelper {
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## common-oss
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对接阿里云的oos分布式对象储存服务,
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/**
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* 设置请求分页
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*/
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public static void startPage() {
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Page page = TableSupport.buildPageRequest();
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Integer pageNum = page.getPageNum();
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Integer pageSize = page.getPageSize();
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String orderBy = SqlUtil.escapeOrderBySql(page.getOrderBy());
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Boolean reasonable = page.getReasonable();
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PageHelper.startPage(pageNum, pageSize, orderBy).setReasonable(reasonable);
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}
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/**
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* 开始的Size
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*
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* @param page
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* @return
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*/
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public static Integer getStartSize(Page page) {
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return (page.getPageNum() - 1) * page.getPageNum();
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}
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public static Integer getStartSize() {
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Page page = TableSupport.buildPageRequest();
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return (page.getPageNum() - 1) * page.getPageSize();
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}
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/**
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* 获取到分页后的数据信息
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*
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* @param list
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* @param <T>
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* @return
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*/
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public static <T> TableDataInfo<T> getDataTable(List<T> list) {
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if (null == list) {
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return new TableDataInfo<>(new ArrayList<>(), 0);
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}
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TableDataInfo<T> tableDataInfo = new TableDataInfo<>();
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tableDataInfo.setRows(list);
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tableDataInfo.setTotal(getTotal(list));
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return tableDataInfo;
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}
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/**
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* 获取到分页的总数
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*
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* @param list
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* @return
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*/
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public static Long getTotal(List<?> list) {
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long total = new PageInfo<>(list).getTotal();
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clearPage();
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return total;
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}
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/**
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* 转换为TableDataInfo对象
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*
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* @param list
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* @param count
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* @param <T>
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* @return
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*/
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public static <T> TableDataInfo<T> convertDataTable(List<T> list, Long count) {
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if (null == list) {
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return new TableDataInfo<>(new ArrayList<>(), 0);
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}
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TableDataInfo<T> tableDataInfo = new TableDataInfo<>();
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tableDataInfo.setRows(list);
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tableDataInfo.setTotal(count);
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return tableDataInfo;
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}
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/**
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* 清理分页的线程变量
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*/
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public static void clearPage() {
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PageHelper.clearPage();
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}
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}
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```
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### 分页操作
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只需要在执行SQL的Mapper之前调用`PageUtils.startPage()`方法,然后调用SQL执行方法,再使用获取到的数组调用PageUtils.getDataTable(list)方法获取到封装好的返回结果对象即。
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## common-file
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在集群环境下,文件不能够单独放置在某一个单一节点执行,需要集中存储起来,我们提供了阿里云的oss,自建服务的minio以及轻量化的ftp三种模式
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### 使用
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1. 将依赖引入到对应的pom.xml中
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2. 在yml文件中配置好信息
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```yml
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file:
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store:
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minio:
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endpoint: endpoint
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bucket: bucket
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access-key: access-key
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secret-key: secret-key@2023
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aliyun:
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endpoint: endpoint
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#AccessId 和 AccessKey
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access-key-id: access-key-id
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secret-access-key: secret-access-key
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#创建的Bucket
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bucket: bucket
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ftp:
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address: address
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port: port
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username: username
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password: password
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encoding: UTF-8
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# 静态资源路径
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asset: asset
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# 公共文件资源
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pubfiles: pubfiles
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# 需要保密的文件资源
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prifiles: prifiles
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```
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## common-redis
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使redis使用FastJson序列化,对RedisTemplate进行进一步的函数封装
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