同步 SensitiveWord 敏感词代码,原分支未正确关联仓库
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package cn.iocoder.yudao.framework.mybatis.core.type;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.util.StrUtil;
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import org.apache.ibatis.type.JdbcType;
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import org.apache.ibatis.type.MappedJdbcTypes;
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import org.apache.ibatis.type.MappedTypes;
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import org.apache.ibatis.type.TypeHandler;
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import java.sql.CallableStatement;
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import java.sql.PreparedStatement;
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import java.sql.ResultSet;
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import java.sql.SQLException;
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import java.util.List;
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/**
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* List<String> 的类型转换器实现类,对应数据库的 varchar 类型
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*
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* @author 永不言败
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* @since 2022 3/23 12:50:15
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*/
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@MappedJdbcTypes(JdbcType.VARCHAR)
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@MappedTypes(List.class)
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public class StringLiSTTypeHandler implements TypeHandler<List<String>> {
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private static final String COMMA = ",";
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@Override
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public void setParameter(PreparedStatement ps, int i, List<String> strings, JdbcType jdbcType) throws SQLException {
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// 设置占位符
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ps.setString(i, CollUtil.join(strings, COMMA));
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}
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@Override
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public List<String> getResult(ResultSet rs, String columnName) throws SQLException {
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String value = rs.getString(columnName);
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return getResult(value);
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}
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@Override
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public List<String> getResult(ResultSet rs, int columnIndex) throws SQLException {
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String value = rs.getString(columnIndex);
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return getResult(value);
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}
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@Override
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public List<String> getResult(CallableStatement cs, int columnIndex) throws SQLException {
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String value = cs.getString(columnIndex);
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return getResult(value);
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}
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private List<String> getResult(String value) {
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if (value == null) {
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return null;
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}
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return StrUtil.splitTrim(value, COMMA);
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}
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}
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package cn.iocoder.yudao.module.system.api.sensitiveword;
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import java.util.List;
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import java.util.Set;
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/**
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* 大佬,别偷懒:代码千万行,注释第一行!
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*
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* @author: 永不言败 <向国足学习永不言败>
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* @since: 2022/3/23 17:00
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* @description:
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* @modification:
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*/
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public interface SensitiveWordApi {
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}
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@ -119,4 +119,8 @@ public interface ErrorCodeConstants {
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ErrorCode SOCIAL_USER_UNBIND_NOT_SELF = new ErrorCode(1002018001, "社交解绑失败,非当前用户绑定");
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ErrorCode SOCIAL_USER_NOT_FOUND = new ErrorCode(1002018002, "社交授权失败,找不到对应的用户");
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// ========== 系统铭感词 1002019000 =========
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ErrorCode SENSITIVE_WORD_NOT_EXISTS = new ErrorCode(1002019000, "系统敏感词在所有标签中都不存在");
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ErrorCode SENSITIVE_WORD_EXISTS = new ErrorCode(1002019001, "系统敏感词已在标签中存在");
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}
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GET http://localhost:81/dev-api/admin-api/system/sensitive-word/get-all-tags
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Accept: application/json
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Authorization: Bearer 385d533b781f44f6bb21ea08afeec47c
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###
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POST http://localhost:81/dev-api/admin-api/system/sensitive-word/create
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Content-Type: application/json
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Authorization: Bearer 1649ff1f8b9a4eeeb458fe93a71c78b5
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{
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"name": "test",
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"tags": [
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"bbb,aaa"
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],
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"description": "test",
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"status": true
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}
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###
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword;
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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.framework.excel.core.util.ExcelUtils;
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import cn.iocoder.yudao.framework.operatelog.core.annotations.OperateLog;
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import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.*;
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import cn.iocoder.yudao.module.system.convert.sensitiveword.SensitiveWordConvert;
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import cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword.SensitiveWordDO;
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import cn.iocoder.yudao.module.system.service.sensitiveword.SensitiveWordService;
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import io.swagger.annotations.Api;
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import io.swagger.annotations.ApiImplicitParam;
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import io.swagger.annotations.ApiOperation;
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import org.springframework.security.access.prepost.PreAuthorize;
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import org.springframework.validation.annotation.Validated;
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import org.springframework.web.bind.annotation.*;
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import javax.annotation.Resource;
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import javax.servlet.http.HttpServletResponse;
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import javax.validation.Valid;
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import java.io.IOException;
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import java.util.List;
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import java.util.Set;
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import static cn.iocoder.yudao.framework.common.pojo.CommonResult.success;
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import static cn.iocoder.yudao.framework.operatelog.core.enums.OperateTypeEnum.EXPORT;
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@Api(tags = "管理后台 - 敏感词")
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@RestController
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@RequestMapping("/system/sensitive-word")
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@Validated
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public class SensitiveWordController {
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@Resource
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private SensitiveWordService sensitiveWordService;
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@PostMapping("/create")
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@ApiOperation("创建敏感词")
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:create')")
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public CommonResult<Long> createSensitiveWord(@Valid @RequestBody SensitiveWordCreateReqVO createReqVO) {
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return success(sensitiveWordService.createSensitiveWord(createReqVO));
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}
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@PutMapping("/update")
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@ApiOperation("更新敏感词")
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:update')")
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public CommonResult<Boolean> updateSensitiveWord(@Valid @RequestBody SensitiveWordUpdateReqVO updateReqVO) {
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sensitiveWordService.updateSensitiveWord(updateReqVO);
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return success(true);
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}
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@DeleteMapping("/delete")
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@ApiOperation("删除敏感词")
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@ApiImplicitParam(name = "id", value = "编号", required = true, dataTypeClass = Long.class)
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:delete')")
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public CommonResult<Boolean> deleteSensitiveWord(@RequestParam("id") Long id) {
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sensitiveWordService.deleteSensitiveWord(id);
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return success(true);
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}
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@GetMapping("/get")
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@ApiOperation("获得敏感词")
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@ApiImplicitParam(name = "id", value = "编号", required = true, example = "1024", dataTypeClass = Long.class)
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:query')")
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public CommonResult<SensitiveWordRespVO> getSensitiveWord(@RequestParam("id") Long id) {
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SensitiveWordDO sensitiveWord = sensitiveWordService.getSensitiveWord(id);
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return success(SensitiveWordConvert.INSTANCE.convert(sensitiveWord));
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}
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@GetMapping("/page")
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@ApiOperation("获得敏感词分页")
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:query')")
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public CommonResult<PageResult<SensitiveWordRespVO>> getSensitiveWordPage(@Valid SensitiveWordPageReqVO pageVO) {
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PageResult<SensitiveWordDO> pageResult = sensitiveWordService.getSensitiveWordPage(pageVO);
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return success(SensitiveWordConvert.INSTANCE.convertPage(pageResult));
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}
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@GetMapping("/get-tags")
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@ApiOperation("获取所有敏感词的标签数组")
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:query')")
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public CommonResult<Set<String>> getSensitiveWordTags() throws IOException {
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return success(sensitiveWordService.getSensitiveWordTags());
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}
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@GetMapping("/export-excel")
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@ApiOperation("导出敏感词 Excel")
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@PreAuthorize("@ss.hasPermission('system:sensitive-word:export')")
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@OperateLog(type = EXPORT)
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public void exportSensitiveWordExcel(@Valid SensitiveWordExportReqVO exportReqVO,
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HttpServletResponse response) throws IOException {
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List<SensitiveWordDO> list = sensitiveWordService.getSensitiveWordList(exportReqVO);
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// 导出 Excel
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List<SensitiveWordExcelVO> datas = SensitiveWordConvert.INSTANCE.convertList02(list);
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ExcelUtils.write(response, "敏感词.xls", "数据", SensitiveWordExcelVO.class, datas);
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}
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// @GetMapping("/is-sensitive-word-by-text-and-tag")
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// @ApiOperation("通过tag判断传入text是否含有敏感词")
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// @PreAuthorize("@ss.hasPermission('system:sensitive-word:checkbytextandtag')")
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// public CommonResult<Boolean> isSensitiveWordByTextAndTag(@NotBlank String text, @NotBlank String tag) throws IOException {
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// return success(sensitiveWordApi.isSensitiveWordByTextAndTag(text,tag));
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// }
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import io.swagger.annotations.ApiModelProperty;
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import lombok.Data;
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import javax.validation.constraints.NotNull;
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import java.util.List;
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/**
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* 敏感词 Base VO,提供给添加、修改、详细的子 VO 使用
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* 如果子 VO 存在差异的字段,请不要添加到这里,影响 Swagger 文档生成
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*/
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@Data
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public class SensitiveWordBaseVO {
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@ApiModelProperty(value = "敏感词", required = true, example = "敏感词")
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@NotNull(message = "敏感词不能为空")
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private String name;
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@ApiModelProperty(value = "标签", required = true, example = "短信,评论")
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@NotNull(message = "标签不能为空")
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private List<String> tags;
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@ApiModelProperty(value = "状态", required = true, example = "1", notes = "参见 CommonStatusEnum 枚举类")
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@NotNull(message = "状态不能为空")
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private Integer status;
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@ApiModelProperty(value = "描述", example = "污言秽语")
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private String description;
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import io.swagger.annotations.ApiModel;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import lombok.ToString;
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@ApiModel("管理后台 - 敏感词创建 Request VO")
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@Data
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@EqualsAndHashCode(callSuper = true)
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@ToString(callSuper = true)
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public class SensitiveWordCreateReqVO extends SensitiveWordBaseVO {
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import com.alibaba.excel.annotation.ExcelProperty;
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import lombok.Data;
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import java.util.Date;
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import java.util.List;
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/**
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* 敏感词 Excel VO
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*
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* @author 永不言败
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*/
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@Data
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public class SensitiveWordExcelVO {
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@ExcelProperty("编号")
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private Long id;
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@ExcelProperty("敏感词")
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private String name;
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@ExcelProperty("标签")
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private List<String> tags;
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@ExcelProperty("状态,true-启用,false-禁用")
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private Integer status;
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@ExcelProperty("描述")
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private String description;
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@ExcelProperty("创建时间")
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private Date createTime;
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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import lombok.Data;
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import org.springframework.format.annotation.DateTimeFormat;
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import java.util.Date;
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import static cn.iocoder.yudao.framework.common.util.date.DateUtils.FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND;
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@ApiModel(value = "管理后台 - 敏感词 Excel 导出 Request VO", description = "参数和 SensitiveWordPageReqVO 是一致的")
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@Data
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public class SensitiveWordExportReqVO {
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@ApiModelProperty(value = "敏感词", example = "敏感词")
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private String name;
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@ApiModelProperty(value = "标签", example = "短信,评论")
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private String tag;
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@ApiModelProperty(value = "状态", example = "true-启用,false-禁用")
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private Integer status;
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@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
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@ApiModelProperty(value = "开始创建时间")
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private Date beginCreateTime;
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@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
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@ApiModelProperty(value = "结束创建时间")
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private Date endCreateTime;
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import cn.iocoder.yudao.framework.common.pojo.PageParam;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import lombok.ToString;
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import org.springframework.format.annotation.DateTimeFormat;
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import java.util.Date;
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import static cn.iocoder.yudao.framework.common.util.date.DateUtils.FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND;
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@ApiModel("管理后台 - 敏感词分页 Request VO")
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@Data
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@EqualsAndHashCode(callSuper = true)
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@ToString(callSuper = true)
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public class SensitiveWordPageReqVO extends PageParam {
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@ApiModelProperty(value = "敏感词", example = "敏感词")
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private String name;
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@ApiModelProperty(value = "标签", example = "短信,评论")
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private String tag;
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@ApiModelProperty(value = "状态", example = "true-启用,true-禁用")
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private Integer status;
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@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
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@ApiModelProperty(value = "开始创建时间")
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private Date beginCreateTime;
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@DateTimeFormat(pattern = FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)
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@ApiModelProperty(value = "结束创建时间")
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private Date endCreateTime;
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import lombok.ToString;
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import java.util.Date;
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@ApiModel("管理后台 - 敏感词 Response VO")
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@Data
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@EqualsAndHashCode(callSuper = true)
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@ToString(callSuper = true)
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public class SensitiveWordRespVO extends SensitiveWordBaseVO {
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@ApiModelProperty(value = "编号", required = true, example = "1")
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private Long id;
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@ApiModelProperty(value = "创建时间", required = true)
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private Date createTime;
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}
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package cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo;
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import io.swagger.annotations.ApiModel;
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import io.swagger.annotations.ApiModelProperty;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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import lombok.ToString;
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import javax.validation.constraints.NotNull;
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@ApiModel("管理后台 - 敏感词更新 Request VO")
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@Data
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@EqualsAndHashCode(callSuper = true)
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@ToString(callSuper = true)
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public class SensitiveWordUpdateReqVO extends SensitiveWordBaseVO {
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@ApiModelProperty(value = "编号", required = true, example = "1")
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@NotNull(message = "编号不能为空")
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private Long id;
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}
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package cn.iocoder.yudao.module.system.convert.sensitiveword;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordCreateReqVO;
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import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordExcelVO;
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import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordRespVO;
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import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordUpdateReqVO;
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import cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword.SensitiveWordDO;
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import org.mapstruct.Mapper;
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import org.mapstruct.factory.Mappers;
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import java.util.List;
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/**
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* 敏感词 Convert
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*
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* @author 永不言败
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*/
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||||
@Mapper
|
||||
public interface SensitiveWordConvert {
|
||||
|
||||
SensitiveWordConvert INSTANCE = Mappers.getMapper(SensitiveWordConvert.class);
|
||||
|
||||
SensitiveWordDO convert(SensitiveWordCreateReqVO bean);
|
||||
|
||||
SensitiveWordDO convert(SensitiveWordUpdateReqVO bean);
|
||||
|
||||
SensitiveWordRespVO convert(SensitiveWordDO bean);
|
||||
|
||||
List<SensitiveWordRespVO> convertList(List<SensitiveWordDO> list);
|
||||
|
||||
PageResult<SensitiveWordRespVO> convertPage(PageResult<SensitiveWordDO> page);
|
||||
|
||||
List<SensitiveWordExcelVO> convertList02(List<SensitiveWordDO> list);
|
||||
|
||||
}
|
|
@ -0,0 +1,56 @@
|
|||
package cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.type.StringLiSTTypeHandler;
|
||||
import com.baomidou.mybatisplus.annotation.TableField;
|
||||
import com.baomidou.mybatisplus.annotation.TableId;
|
||||
import com.baomidou.mybatisplus.annotation.TableName;
|
||||
import lombok.*;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 敏感词 DO
|
||||
*
|
||||
* @author 永不言败
|
||||
*/
|
||||
@TableName(value = "system_sensitive_word", autoResultMap = true)
|
||||
@Data
|
||||
@EqualsAndHashCode(callSuper = true)
|
||||
@ToString(callSuper = true)
|
||||
@Builder
|
||||
@NoArgsConstructor
|
||||
@AllArgsConstructor
|
||||
public class SensitiveWordDO extends BaseDO {
|
||||
|
||||
/**
|
||||
* 编号
|
||||
*/
|
||||
@TableId
|
||||
private Long id;
|
||||
/**
|
||||
* 敏感词
|
||||
*/
|
||||
private String name;
|
||||
/**
|
||||
* 描述
|
||||
*/
|
||||
private String description;
|
||||
/**
|
||||
* 标签数组
|
||||
*
|
||||
* 用于实现不同的业务场景下,需要使用不同标签的敏感词。
|
||||
* 例如说,tag 有短信、论坛两种,敏感词 "推广" 在短信下是敏感词,在论坛下不是敏感词。
|
||||
* 此时,我们会存储一条敏感词记录,它的 name 为"推广",tag 为短信。
|
||||
*/
|
||||
@TableField(typeHandler = StringLiSTTypeHandler.class)
|
||||
private List<String> tags;
|
||||
/**
|
||||
* 状态
|
||||
*
|
||||
* 枚举 {@link CommonStatusEnum}
|
||||
*/
|
||||
private Integer status;
|
||||
|
||||
}
|
|
@ -0,0 +1,47 @@
|
|||
package cn.iocoder.yudao.module.system.dal.mysql.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.mapper.BaseMapperX;
|
||||
import cn.iocoder.yudao.framework.mybatis.core.query.LambdaQueryWrapperX;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordExportReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordPageReqVO;
|
||||
import cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword.SensitiveWordDO;
|
||||
import org.apache.ibatis.annotations.Mapper;
|
||||
import org.apache.ibatis.annotations.Select;
|
||||
|
||||
import java.util.Date;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* 敏感词 Mapper
|
||||
*
|
||||
* @author 永不言败
|
||||
*/
|
||||
@Mapper
|
||||
public interface SensitiveWordMapper extends BaseMapperX<SensitiveWordDO> {
|
||||
|
||||
default PageResult<SensitiveWordDO> selectPage(SensitiveWordPageReqVO reqVO) {
|
||||
return selectPage(reqVO, new LambdaQueryWrapperX<SensitiveWordDO>()
|
||||
.likeIfPresent(SensitiveWordDO::getName, reqVO.getName())
|
||||
.likeIfPresent(SensitiveWordDO::getTags, reqVO.getTag())
|
||||
.eqIfPresent(SensitiveWordDO::getStatus, reqVO.getStatus())
|
||||
.betweenIfPresent(SensitiveWordDO::getCreateTime, reqVO.getBeginCreateTime(), reqVO.getEndCreateTime())
|
||||
.orderByDesc(SensitiveWordDO::getId));
|
||||
}
|
||||
|
||||
default List<SensitiveWordDO> selectList(SensitiveWordExportReqVO reqVO) {
|
||||
return selectList(new LambdaQueryWrapperX<SensitiveWordDO>()
|
||||
.likeIfPresent(SensitiveWordDO::getName, reqVO.getName())
|
||||
.likeIfPresent(SensitiveWordDO::getTags, reqVO.getTag())
|
||||
.eqIfPresent(SensitiveWordDO::getStatus, reqVO.getStatus())
|
||||
.betweenIfPresent(SensitiveWordDO::getCreateTime, reqVO.getBeginCreateTime(), reqVO.getEndCreateTime())
|
||||
.orderByDesc(SensitiveWordDO::getId));
|
||||
}
|
||||
|
||||
default SensitiveWordDO selectByName(String name) {
|
||||
return selectOne(SensitiveWordDO::getName, name);
|
||||
}
|
||||
|
||||
@Select("SELECT id FROM system_sensitive_word WHERE update_time > #{maxUpdateTime} LIMIT 1")
|
||||
SensitiveWordDO selectExistsByUpdateTimeAfter(Date maxUpdateTime);
|
||||
}
|
|
@ -0,0 +1,29 @@
|
|||
package cn.iocoder.yudao.module.system.mq.consumer.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.mq.core.pubsub.AbstractChannelMessageListener;
|
||||
import cn.iocoder.yudao.module.system.mq.message.sensitiveword.SensitiveWordRefreshMessage;
|
||||
import cn.iocoder.yudao.module.system.service.sensitiveword.SensitiveWordService;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import javax.annotation.Resource;
|
||||
|
||||
/**
|
||||
* 针对 {@link SensitiveWordRefreshMessage} 的消费者
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
@Component
|
||||
@Slf4j
|
||||
public class SensitiveWordRefreshConsumer extends AbstractChannelMessageListener<SensitiveWordRefreshMessage> {
|
||||
|
||||
@Resource
|
||||
private SensitiveWordService sensitiveWordService;
|
||||
|
||||
@Override
|
||||
public void onMessage(SensitiveWordRefreshMessage message) {
|
||||
log.info("[onMessage][收到 SensitiveWord 刷新消息]");
|
||||
sensitiveWordService.initLocalCache();
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,19 @@
|
|||
package cn.iocoder.yudao.module.system.mq.message.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.mq.core.pubsub.AbstractChannelMessage;
|
||||
import lombok.Data;
|
||||
import lombok.EqualsAndHashCode;
|
||||
|
||||
/**
|
||||
* 敏感词的刷新 Message
|
||||
*/
|
||||
@Data
|
||||
@EqualsAndHashCode(callSuper = true)
|
||||
public class SensitiveWordRefreshMessage extends AbstractChannelMessage {
|
||||
|
||||
@Override
|
||||
public String getChannel() {
|
||||
return "system.sensitive-word.refresh";
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
package cn.iocoder.yudao.module.system.mq.producer.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.mq.core.RedisMQTemplate;
|
||||
import cn.iocoder.yudao.module.system.mq.message.sensitiveword.SensitiveWordRefreshMessage;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import javax.annotation.Resource;
|
||||
|
||||
/**
|
||||
* 敏感词相关的 Producer
|
||||
*/
|
||||
@Component
|
||||
public class SensitiveWordProducer {
|
||||
|
||||
@Resource
|
||||
private RedisMQTemplate redisMQTemplate;
|
||||
|
||||
/**
|
||||
* 发送 {@link SensitiveWordRefreshMessage} 消息
|
||||
*/
|
||||
public void sendSensitiveWordRefreshMessage() {
|
||||
SensitiveWordRefreshMessage message = new SensitiveWordRefreshMessage();
|
||||
redisMQTemplate.send(message);
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,86 @@
|
|||
package cn.iocoder.yudao.module.system.service.sensitiveword;
|
||||
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordCreateReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordExportReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordPageReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword.SensitiveWordDO;
|
||||
|
||||
import javax.validation.Valid;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
/**
|
||||
* 敏感词 Service 接口
|
||||
*
|
||||
* @author 永不言败
|
||||
*/
|
||||
public interface SensitiveWordService {
|
||||
|
||||
/**
|
||||
* 初始化本地缓存
|
||||
*/
|
||||
void initLocalCache();
|
||||
|
||||
/**
|
||||
* 创建敏感词
|
||||
*
|
||||
* @param createReqVO 创建信息
|
||||
* @return 编号
|
||||
*/
|
||||
Long createSensitiveWord(@Valid SensitiveWordCreateReqVO createReqVO);
|
||||
|
||||
/**
|
||||
* 更新敏感词
|
||||
*
|
||||
* @param updateReqVO 更新信息
|
||||
*/
|
||||
void updateSensitiveWord(@Valid SensitiveWordUpdateReqVO updateReqVO);
|
||||
|
||||
/**
|
||||
* 删除敏感词
|
||||
*
|
||||
* @param id 编号
|
||||
*/
|
||||
void deleteSensitiveWord(Long id);
|
||||
|
||||
/**
|
||||
* 获得敏感词
|
||||
*
|
||||
* @param id 编号
|
||||
* @return 敏感词
|
||||
*/
|
||||
SensitiveWordDO getSensitiveWord(Long id);
|
||||
|
||||
/**
|
||||
* 获得敏感词列表
|
||||
*
|
||||
* @return 敏感词列表
|
||||
*/
|
||||
List<SensitiveWordDO> getSensitiveWordList();
|
||||
|
||||
/**
|
||||
* 获得敏感词分页
|
||||
*
|
||||
* @param pageReqVO 分页查询
|
||||
* @return 敏感词分页
|
||||
*/
|
||||
PageResult<SensitiveWordDO> getSensitiveWordPage(SensitiveWordPageReqVO pageReqVO);
|
||||
|
||||
/**
|
||||
* 获得敏感词列表, 用于 Excel 导出
|
||||
*
|
||||
* @param exportReqVO 查询条件
|
||||
* @return 敏感词列表
|
||||
*/
|
||||
List<SensitiveWordDO> getSensitiveWordList(SensitiveWordExportReqVO exportReqVO);
|
||||
|
||||
/**
|
||||
* 获得所有敏感词的标签数组
|
||||
*
|
||||
* @return 标签数组
|
||||
*/
|
||||
Set<String> getSensitiveWordTags();
|
||||
|
||||
}
|
|
@ -0,0 +1,206 @@
|
|||
package cn.iocoder.yudao.module.system.service.sensitiveword;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
||||
import cn.iocoder.yudao.framework.common.util.collection.CollectionUtils;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordCreateReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordExportReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordPageReqVO;
|
||||
import cn.iocoder.yudao.module.system.controller.admin.sensitiveword.vo.SensitiveWordUpdateReqVO;
|
||||
import cn.iocoder.yudao.module.system.convert.sensitiveword.SensitiveWordConvert;
|
||||
import cn.iocoder.yudao.module.system.dal.dataobject.sensitiveword.SensitiveWordDO;
|
||||
import cn.iocoder.yudao.module.system.dal.mysql.sensitiveword.SensitiveWordMapper;
|
||||
import cn.iocoder.yudao.module.system.mq.producer.sensitiveword.SensitiveWordProducer;
|
||||
import lombok.Getter;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.context.annotation.Lazy;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.validation.annotation.Validated;
|
||||
|
||||
import javax.annotation.PostConstruct;
|
||||
import javax.annotation.Resource;
|
||||
import java.util.*;
|
||||
|
||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||
import static cn.iocoder.yudao.module.system.enums.ErrorCodeConstants.*;
|
||||
|
||||
/**
|
||||
* 敏感词 Service 实现类
|
||||
*
|
||||
* @author 永不言败
|
||||
*/
|
||||
@Service
|
||||
@Slf4j
|
||||
@Validated
|
||||
public class SensitiveWordServiceImpl implements SensitiveWordService {
|
||||
|
||||
/**
|
||||
* 定时执行 {@link #schedulePeriodicRefresh()} 的周期
|
||||
* 因为已经通过 Redis Pub/Sub 机制,所以频率不需要高
|
||||
*/
|
||||
private static final long SCHEDULER_PERIOD = 5 * 60 * 1000L;
|
||||
|
||||
/**
|
||||
* 敏感词缓存
|
||||
* key:敏感词编号 {@link SensitiveWordDO#getId()}
|
||||
* <p>
|
||||
* 这里声明 volatile 修饰的原因是,每次刷新时,直接修改指向
|
||||
*/
|
||||
@Getter
|
||||
private volatile Map<Long, SensitiveWordDO> sensitiveWordCache = Collections.emptyMap();
|
||||
|
||||
/**
|
||||
* 敏感词标签缓存
|
||||
* key:敏感词编号 {@link SensitiveWordDO#getId()}
|
||||
* <p>
|
||||
* 这里声明 volatile 修饰的原因是,每次刷新时,直接修改指向
|
||||
*/
|
||||
@Getter
|
||||
private volatile Set<String> sensitiveWordTagsCache = Collections.emptySet();
|
||||
|
||||
/**
|
||||
* 缓存敏感词的最大更新时间,用于后续的增量轮询,判断是否有更新
|
||||
*/
|
||||
@Getter
|
||||
private volatile Date maxUpdateTime;
|
||||
|
||||
@Resource
|
||||
private SensitiveWordMapper sensitiveWordMapper;
|
||||
|
||||
@Resource
|
||||
private SensitiveWordProducer sensitiveWordProducer;
|
||||
|
||||
@Resource
|
||||
@Lazy
|
||||
private SensitiveWordService self;
|
||||
|
||||
/**
|
||||
* 初始化 {@link #sensitiveWordCache} 缓存
|
||||
*/
|
||||
@Override
|
||||
@PostConstruct
|
||||
public void initLocalCache() {
|
||||
// 获取敏感词列表,如果有更新
|
||||
List<SensitiveWordDO> sensitiveWordList = loadSensitiveWordIfUpdate(maxUpdateTime);
|
||||
if (CollUtil.isEmpty(sensitiveWordList)) {
|
||||
return;
|
||||
}
|
||||
|
||||
// 写入 sensitiveWordTagsCache 缓存
|
||||
Set<String> tags = new HashSet<>();
|
||||
sensitiveWordList.forEach(word -> tags.addAll(word.getTags()));
|
||||
sensitiveWordTagsCache = tags;
|
||||
// 写入 sensitiveWordCache 缓存
|
||||
sensitiveWordCache = CollectionUtils.convertMap(sensitiveWordList, SensitiveWordDO::getId);
|
||||
maxUpdateTime = CollectionUtils.getMaxValue(sensitiveWordList, SensitiveWordDO::getUpdateTime);
|
||||
log.info("[initLocalCache][初始化 敏感词 数量为 {}]", sensitiveWordList.size());
|
||||
}
|
||||
|
||||
@Scheduled(fixedDelay = SCHEDULER_PERIOD, initialDelay = SCHEDULER_PERIOD)
|
||||
public void schedulePeriodicRefresh() {
|
||||
self.initLocalCache();
|
||||
}
|
||||
|
||||
/**
|
||||
* 如果敏感词发生变化,从数据库中获取最新的全量敏感词。
|
||||
* 如果未发生变化,则返回空
|
||||
*
|
||||
* @param maxUpdateTime 当前敏感词的最大更新时间
|
||||
* @return 敏感词列表
|
||||
*/
|
||||
private List<SensitiveWordDO> loadSensitiveWordIfUpdate(Date maxUpdateTime) {
|
||||
// 第一步,判断是否要更新。
|
||||
// 如果更新时间为空,说明 DB 一定有新数据
|
||||
if (maxUpdateTime == null) {
|
||||
log.info("[loadSensitiveWordIfUpdate][首次加载全量敏感词]");
|
||||
} else { // 判断数据库中是否有更新的敏感词
|
||||
if (sensitiveWordMapper.selectExistsByUpdateTimeAfter(maxUpdateTime) == null) {
|
||||
return null;
|
||||
}
|
||||
log.info("[loadSensitiveWordIfUpdate][增量加载全量敏感词]");
|
||||
}
|
||||
// 第二步,如果有更新,则从数据库加载所有敏感词
|
||||
return sensitiveWordMapper.selectList();
|
||||
}
|
||||
|
||||
@Override
|
||||
public Long createSensitiveWord(SensitiveWordCreateReqVO createReqVO) {
|
||||
// 校验唯一性
|
||||
checkSensitiveWordNameUnique(null, createReqVO.getName());
|
||||
// 插入
|
||||
SensitiveWordDO sensitiveWord = SensitiveWordConvert.INSTANCE.convert(createReqVO);
|
||||
sensitiveWordMapper.insert(sensitiveWord);
|
||||
// 发送消息,刷新缓存
|
||||
sensitiveWordProducer.sendSensitiveWordRefreshMessage();
|
||||
return sensitiveWord.getId();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void updateSensitiveWord(SensitiveWordUpdateReqVO updateReqVO) {
|
||||
// 校验唯一性
|
||||
checkSensitiveWordExists(updateReqVO.getId());
|
||||
checkSensitiveWordNameUnique(updateReqVO.getId(), updateReqVO.getName());
|
||||
// 更新
|
||||
SensitiveWordDO updateObj = SensitiveWordConvert.INSTANCE.convert(updateReqVO);
|
||||
sensitiveWordMapper.updateById(updateObj);
|
||||
// 发送消息,刷新缓存
|
||||
sensitiveWordProducer.sendSensitiveWordRefreshMessage();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void deleteSensitiveWord(Long id) {
|
||||
// 校验存在
|
||||
checkSensitiveWordExists(id);
|
||||
// 删除
|
||||
sensitiveWordMapper.deleteById(id);
|
||||
// 发送消息,刷新缓存
|
||||
sensitiveWordProducer.sendSensitiveWordRefreshMessage();
|
||||
}
|
||||
|
||||
private void checkSensitiveWordNameUnique(Long id, String name) {
|
||||
SensitiveWordDO word = sensitiveWordMapper.selectByName(name);
|
||||
if (word == null) {
|
||||
return;
|
||||
}
|
||||
// 如果 id 为空,说明不用比较是否为相同 id 的敏感词
|
||||
if (id == null) {
|
||||
throw exception(SENSITIVE_WORD_EXISTS);
|
||||
}
|
||||
if (!word.getId().equals(id)) {
|
||||
throw exception(SENSITIVE_WORD_EXISTS);
|
||||
}
|
||||
}
|
||||
|
||||
private void checkSensitiveWordExists(Long id) {
|
||||
if (sensitiveWordMapper.selectById(id) == null) {
|
||||
throw exception(SENSITIVE_WORD_NOT_EXISTS);
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public SensitiveWordDO getSensitiveWord(Long id) {
|
||||
return sensitiveWordMapper.selectById(id);
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<SensitiveWordDO> getSensitiveWordList() {
|
||||
return sensitiveWordMapper.selectList();
|
||||
}
|
||||
|
||||
@Override
|
||||
public PageResult<SensitiveWordDO> getSensitiveWordPage(SensitiveWordPageReqVO pageReqVO) {
|
||||
return sensitiveWordMapper.selectPage(pageReqVO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<SensitiveWordDO> getSensitiveWordList(SensitiveWordExportReqVO exportReqVO) {
|
||||
return sensitiveWordMapper.selectList(exportReqVO);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Set<String> getSensitiveWordTags() {
|
||||
return sensitiveWordTagsCache;
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,143 @@
|
|||
package cn.iocoder.yudao.module.system.util.collection;
|
||||
|
||||
import java.util.*;
|
||||
|
||||
/**
|
||||
* 基于前缀树,实现敏感词的校验
|
||||
* <p>
|
||||
* 相比 Apache Common 提供的 PatriciaTrie 来说,性能可能会更加好一些。
|
||||
*
|
||||
* @author 芋道源码
|
||||
*/
|
||||
@SuppressWarnings("unchecked")
|
||||
public class SimpleTrie {
|
||||
|
||||
/**
|
||||
* 一个敏感词结束后对应的 key
|
||||
*/
|
||||
private static final Character CHARACTER_END = '\0';
|
||||
|
||||
/**
|
||||
* 使用敏感词,构建的前缀树
|
||||
*/
|
||||
private final Map<Character, Object> children;
|
||||
|
||||
/**
|
||||
* 基于字符串,构建前缀树
|
||||
*
|
||||
* @param strs 字符串数组
|
||||
*/
|
||||
public SimpleTrie(List<String> strs) {
|
||||
children = new HashMap<>();
|
||||
// 构建树
|
||||
Collections.sort(strs); // 排序,优先使用较短的前缀
|
||||
for (String str : strs) {
|
||||
Map<Character, Object> child = children;
|
||||
// 遍历每个字符
|
||||
for (Character c : str.toCharArray()) {
|
||||
// 如果已经到达结束,就没必要在添加更长的敏感词。
|
||||
// 例如说,有两个敏感词是:吃饭啊、吃饭。输入一句话是 “我要吃饭啊”,则只要匹配到 “吃饭” 这个敏感词即可。
|
||||
if (child.containsKey(CHARACTER_END)) {
|
||||
break;
|
||||
}
|
||||
if (!child.containsKey(c)) {
|
||||
child.put(c, new HashMap<>());
|
||||
}
|
||||
child = (Map<Character, Object>) child.get(c);
|
||||
}
|
||||
// 结束
|
||||
child.put(CHARACTER_END, null);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 验证文本是否合法,即不包含敏感词
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 是否 ok
|
||||
*/
|
||||
public boolean isValid(String text) {
|
||||
// 遍历 text,使用每一个 [i, n) 段的字符串,使用 children 前缀树匹配,是否包含敏感词
|
||||
for (int i = 0; i < text.length() - 1; i++) {
|
||||
Map<Character, Object> child = (Map<Character, Object>) children.get(text.charAt(i));
|
||||
if (child == null) {
|
||||
continue;
|
||||
}
|
||||
boolean ok = recursion(text, i + 1, child);
|
||||
if (!ok) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* 验证文本从指定位置开始,是否包含某个敏感词
|
||||
*
|
||||
* @param text 文本
|
||||
* @param index 开始位置
|
||||
* @param child 节点(当前遍历到的)
|
||||
* @return 是否包含
|
||||
*/
|
||||
private boolean recursion(String text, int index, Map<Character, Object> child) {
|
||||
if (index == text.length()) {
|
||||
return true;
|
||||
}
|
||||
child = (Map<Character, Object>) child.get(text.charAt(index));
|
||||
return child == null || !child.containsKey(CHARACTER_END) && recursion(text, ++index, child);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获得文本所包含的不合法的敏感词
|
||||
*
|
||||
* 注意,才当即最短匹配原则。例如说:当敏感词存在 “煞笔”,“煞笔二货 ”时,只会返回 “煞笔”。
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 匹配的敏感词
|
||||
*/
|
||||
public List<String> validate(String text) {
|
||||
Set<String> results = new HashSet<>();
|
||||
for (int i = 0; i < text.length() - 1; i++) {
|
||||
Character c = text.charAt(i);
|
||||
Map<Character, Object> child = (Map<Character, Object>) children.get(c);
|
||||
if (child == null) {
|
||||
continue;
|
||||
}
|
||||
StringBuilder result = new StringBuilder().append(c);
|
||||
boolean ok = recursionWithResult(text, i + 1, child, result);
|
||||
if (!ok) {
|
||||
results.add(result.toString());
|
||||
}
|
||||
}
|
||||
return new ArrayList<>(results);
|
||||
}
|
||||
|
||||
/**
|
||||
* 返回文本从 index 开始的敏感词,并使用 StringBuilder 参数进行返回
|
||||
*
|
||||
* 逻辑和 {@link #recursion(String, int, Map)} 是一致,只是多了 result 返回结果
|
||||
*
|
||||
* @param text 文本
|
||||
* @param index 开始未知
|
||||
* @param child 节点(当前遍历到的)
|
||||
* @param result 返回敏感词
|
||||
* @return 是否有敏感词
|
||||
*/
|
||||
@SuppressWarnings("unchecked")
|
||||
private static boolean recursionWithResult(String text, int index, Map<Character, Object> child, StringBuilder result) {
|
||||
if (index == text.length()) {
|
||||
return true;
|
||||
}
|
||||
Character c = text.charAt(index);
|
||||
child = (Map<Character, Object>) child.get(c);
|
||||
if (child == null) {
|
||||
return true;
|
||||
}
|
||||
if (child.containsKey(CHARACTER_END)) {
|
||||
result.append(c);
|
||||
return false;
|
||||
}
|
||||
return recursionWithResult(text, ++index, child, result.append(c));
|
||||
}
|
||||
|
||||
}
|
|
@ -0,0 +1,4 @@
|
|||
/**
|
||||
* 每个模块的 util 包,放专属当前模块的 Utils 工具类
|
||||
*/
|
||||
package cn.iocoder.yudao.module.system.util;
|
|
@ -17,3 +17,4 @@ DELETE FROM "system_error_code";
|
|||
DELETE FROM "system_social_user";
|
||||
DELETE FROM "system_tenant";
|
||||
DELETE FROM "system_tenant_package";
|
||||
DELETE FROM "system_sensitive_word";
|
||||
|
|
|
@ -426,3 +426,17 @@ CREATE TABLE IF NOT EXISTS "system_tenant_package" (
|
|||
"deleted" bit NOT NULL DEFAULT FALSE,
|
||||
PRIMARY KEY ("id")
|
||||
) COMMENT '租户套餐表';
|
||||
|
||||
CREATE TABLE IF NOT EXISTS "system_sensitive_word" (
|
||||
"id" bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY,
|
||||
"name" varchar(255) NOT NULL,
|
||||
"tags" varchar(1024) NOT NULL,
|
||||
"status" bit NOT NULL DEFAULT FALSE,
|
||||
"description" varchar(512),
|
||||
"creator" varchar(64) DEFAULT '',
|
||||
"create_time" datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
"updater" varchar(64) DEFAULT '',
|
||||
"update_time" datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
|
||||
"deleted" bit NOT NULL DEFAULT FALSE,
|
||||
PRIMARY KEY ("id")
|
||||
) COMMENT '系统敏感词';
|
||||
|
|
Loading…
Reference in New Issue