完善敏感词的单元测试

YunaiV
1 parent 696756b3
Showing 3 changed files with 1023 additions and 92 deletions
sql/ruoyi-vue-pro.sql
yudao-module-system/yudao-module-system-impl/src/main/java/cn/iocoder/yudao/module/system/service/sensitiveword/SensitiveWordServiceImpl.java
yudao-module-system/yudao-module-system-impl/src/test/java/cn/iocoder/yudao/module/system/service/sensitiveword/SensitiveWordServiceImplTest.java
@@ -46,15 +46,6 @@ public class SensitiveWordServiceImpl implements SensitiveWordService {
     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>
@@ -78,14 +69,16 @@ public class SensitiveWordServiceImpl implements SensitiveWordService {
     /**
      * 默认的敏感词的字典树，包含所有敏感词
      */
+    @Getter
     private volatile SimpleTrie defaultSensitiveWordTrie = new SimpleTrie(Collections.emptySet());
     /**
      * 标签与敏感词的字段数的映射
      */
+    @Getter
     private volatile Map<String, SimpleTrie> tagSensitiveWordTries = Collections.emptyMap();
     /**
-     * 初始化 {@link #sensitiveWordCache} 缓存
+     * 初始化缓存
      */
     @Override
     @PostConstruct
@@ -102,8 +95,7 @@ public class SensitiveWordServiceImpl implements SensitiveWordService {
         sensitiveWordTagsCache = tags;
         // 写入 defaultSensitiveWordTrie、tagSensitiveWordTries 缓存
         initSensitiveWordTrie(sensitiveWordList);
-        // 写入 sensitiveWordCache 缓存
-        sensitiveWordCache = CollectionUtils.convertMap(sensitiveWordList, SensitiveWordDO::getId);
+        // 写入 maxUpdateTime 最大更新时间
         maxUpdateTime = CollectionUtils.getMaxValue(sensitiveWordList, SensitiveWordDO::getUpdateTime);
         log.info("[initLocalCache][初始化 敏感词 数量为 {}]", sensitiveWordList.size());
     }
+package cn.iocoder.yudao.module.system.service.sensitiveword;
+
+import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
+import cn.iocoder.yudao.framework.common.pojo.PageResult;
+import cn.iocoder.yudao.framework.common.util.collection.SetUtils;
+import cn.iocoder.yudao.framework.common.util.date.DateUtils;
+import cn.iocoder.yudao.framework.test.core.ut.BaseDbUnitTest;
+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 cn.iocoder.yudao.module.system.dal.mysql.sensitiveword.SensitiveWordMapper;
+import cn.iocoder.yudao.module.system.mq.producer.sensitiveword.SensitiveWordProducer;
+import org.junit.jupiter.api.Test;
+import org.springframework.boot.test.mock.mockito.MockBean;
+import org.springframework.context.annotation.Import;
+
+import javax.annotation.Resource;
+import java.util.Arrays;
+import java.util.List;
+
+import static cn.iocoder.yudao.framework.common.util.object.ObjectUtils.cloneIgnoreId;
+import static cn.iocoder.yudao.framework.common.util.object.ObjectUtils.max;
+import static cn.iocoder.yudao.framework.test.core.util.AssertUtils.assertPojoEquals;
+import static cn.iocoder.yudao.framework.test.core.util.AssertUtils.assertServiceException;
+import static cn.iocoder.yudao.framework.test.core.util.RandomUtils.randomLongId;
+import static cn.iocoder.yudao.framework.test.core.util.RandomUtils.randomPojo;
+import static cn.iocoder.yudao.module.system.enums.ErrorCodeConstants.SENSITIVE_WORD_NOT_EXISTS;
+import static java.util.Collections.singletonList;
+import static org.junit.jupiter.api.Assertions.*;
+import static org.mockito.Mockito.verify;
+
+/**
+ * {@link SensitiveWordServiceImpl} 的单元测试类
+ *
+ * @author 永不言败
+ */
+@Import(SensitiveWordServiceImpl.class)
+public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
+
+    @Resource
+    private SensitiveWordServiceImpl sensitiveWordService;
+
+    @Resource
+    private SensitiveWordMapper sensitiveWordMapper;
+
+    @MockBean
+    private SensitiveWordProducer sensitiveWordProducer;
+
+    @Test
+    public void testInitLocalCache() {
+        SensitiveWordDO wordDO1 = randomPojo(SensitiveWordDO.class, o -> o.setName("傻瓜")
+                .setTags(singletonList("论坛")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
+        sensitiveWordMapper.insert(wordDO1);
+        SensitiveWordDO wordDO2 = randomPojo(SensitiveWordDO.class, o -> o.setName("笨蛋")
+                .setTags(singletonList("蔬菜")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
+        sensitiveWordMapper.insert(wordDO2);
+
+        // 调用
+        sensitiveWordService.initLocalCache();
+        // 断言 maxUpdateTime 缓存
+        assertEquals(max(wordDO1.getUpdateTime(), wordDO2.getUpdateTime()), sensitiveWordService.getMaxUpdateTime());
+        // 断言 sensitiveWordTagsCache 缓存
+        assertEquals(SetUtils.asSet("论坛", "蔬菜"), sensitiveWordService.getSensitiveWordTags());
+        // 断言 tagSensitiveWordTries 缓存
+        assertNotNull(sensitiveWordService.getDefaultSensitiveWordTrie());
+        assertEquals(2, sensitiveWordService.getTagSensitiveWordTries().size());
+        assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("论坛"));
+        assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("蔬菜"));
+    }
+
+    @Test
+    public void testCreateSensitiveWord_success() {
+        // 准备参数
+        SensitiveWordCreateReqVO reqVO = randomPojo(SensitiveWordCreateReqVO.class);
+
+        // 调用
+        Long sensitiveWordId = sensitiveWordService.createSensitiveWord(reqVO);
+        // 断言
+        assertNotNull(sensitiveWordId);
+        // 校验记录的属性是否正确
+        SensitiveWordDO sensitiveWord = sensitiveWordMapper.selectById(sensitiveWordId);
+        assertPojoEquals(reqVO, sensitiveWord);
+        verify(sensitiveWordProducer).sendSensitiveWordRefreshMessage();
+    }
+
+    @Test
+    public void testUpdateSensitiveWord_success() {
+        // mock 数据
+        SensitiveWordDO dbSensitiveWord = randomPojo(SensitiveWordDO.class);
+        sensitiveWordMapper.insert(dbSensitiveWord);// @Sql: 先插入出一条存在的数据
+        // 准备参数
+        SensitiveWordUpdateReqVO reqVO = randomPojo(SensitiveWordUpdateReqVO.class, o -> {
+            o.setId(dbSensitiveWord.getId()); // 设置更新的 ID
+        });
+
+        // 调用
+        sensitiveWordService.updateSensitiveWord(reqVO);
+        // 校验是否更新正确
+        SensitiveWordDO sensitiveWord = sensitiveWordMapper.selectById(reqVO.getId()); // 获取最新的
+        assertPojoEquals(reqVO, sensitiveWord);
+        verify(sensitiveWordProducer).sendSensitiveWordRefreshMessage();
+    }
+
+    @Test
+    public void testUpdateSensitiveWord_notExists() {
+        // 准备参数
+        SensitiveWordUpdateReqVO reqVO = randomPojo(SensitiveWordUpdateReqVO.class);
+
+        // 调用, 并断言异常
+        assertServiceException(() -> sensitiveWordService.updateSensitiveWord(reqVO), SENSITIVE_WORD_NOT_EXISTS);
+    }
+
+    @Test
+    public void testDeleteSensitiveWord_success() {
+        // mock 数据
+        SensitiveWordDO dbSensitiveWord = randomPojo(SensitiveWordDO.class);
+        sensitiveWordMapper.insert(dbSensitiveWord);// @Sql: 先插入出一条存在的数据
+        // 准备参数
+        Long id = dbSensitiveWord.getId();
+
+        // 调用
+        sensitiveWordService.deleteSensitiveWord(id);
+        // 校验数据不存在了
+        assertNull(sensitiveWordMapper.selectById(id));
+        verify(sensitiveWordProducer).sendSensitiveWordRefreshMessage();
+    }
+
+    @Test
+    public void testDeleteSensitiveWord_notExists() {
+        // 准备参数
+        Long id = randomLongId();
+
+        // 调用, 并断言异常
+        assertServiceException(() -> sensitiveWordService.deleteSensitiveWord(id), SENSITIVE_WORD_NOT_EXISTS);
+    }
+
+    @Test
+    public void testGetSensitiveWordPage() {
+        // mock 数据
+        SensitiveWordDO dbSensitiveWord = randomPojo(SensitiveWordDO.class, o -> { // 等会查询到
+            o.setName("笨蛋");
+            o.setTags(Arrays.asList("论坛", "蔬菜"));
+            o.setStatus(CommonStatusEnum.ENABLE.getStatus());
+            o.setCreateTime(DateUtils.buildTime(2022, 2, 8));
+        });
+        sensitiveWordMapper.insert(dbSensitiveWord);
+        // 测试 name 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setName("傻瓜")));
+        // 测试 tags 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setTags(Arrays.asList("短信", "日用品"))));
+        // 测试 createTime 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setCreateTime(DateUtils.buildTime(2022, 2, 16))));
+        // 准备参数
+        SensitiveWordPageReqVO reqVO = new SensitiveWordPageReqVO();
+        reqVO.setName("笨");
+        reqVO.setTag("论坛");
+        reqVO.setStatus(CommonStatusEnum.ENABLE.getStatus());
+        reqVO.setBeginCreateTime(DateUtils.buildTime(2022, 2, 1));
+        reqVO.setEndCreateTime(DateUtils.buildTime(2022, 2, 12));
+
+        // 调用
+        PageResult<SensitiveWordDO> pageResult = sensitiveWordService.getSensitiveWordPage(reqVO);
+        // 断言
+        assertEquals(1, pageResult.getTotal());
+        assertEquals(1, pageResult.getList().size());
+        assertPojoEquals(dbSensitiveWord, pageResult.getList().get(0));
+    }
+
+    @Test
+    public void testGetSensitiveWordList() {
+        // mock 数据
+        SensitiveWordDO dbSensitiveWord = randomPojo(SensitiveWordDO.class, o -> { // 等会查询到
+            o.setName("笨蛋");
+            o.setTags(Arrays.asList("论坛", "蔬菜"));
+            o.setStatus(CommonStatusEnum.ENABLE.getStatus());
+            o.setCreateTime(DateUtils.buildTime(2022, 2, 8));
+        });
+        sensitiveWordMapper.insert(dbSensitiveWord);
+        // 测试 name 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setName("傻瓜")));
+        // 测试 tags 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setTags(Arrays.asList("短信", "日用品"))));
+        // 测试 createTime 不匹配
+        sensitiveWordMapper.insert(cloneIgnoreId(dbSensitiveWord, o -> o.setCreateTime(DateUtils.buildTime(2022, 2, 16))));
+        // 准备参数
+        SensitiveWordExportReqVO reqVO = new SensitiveWordExportReqVO();
+        reqVO.setName("笨");
+        reqVO.setTag("论坛");
+        reqVO.setStatus(CommonStatusEnum.ENABLE.getStatus());
+        reqVO.setBeginCreateTime(DateUtils.buildTime(2022, 2, 1));
+        reqVO.setEndCreateTime(DateUtils.buildTime(2022, 2, 12));
+
+        // 调用
+        List<SensitiveWordDO> list = sensitiveWordService.getSensitiveWordList(reqVO);
+        // 断言
+        assertEquals(1, list.size());
+        assertPojoEquals(dbSensitiveWord, list.get(0));
+    }
+
+    @Test
+    public void testValidateText_noTag() {
+        testInitLocalCache();
+        // 准备参数
+        String text = "你是傻瓜，你是笨蛋";
+
+        // 调用
+        List<String> result = sensitiveWordService.validateText(text, null);
+        // 断言
+        assertEquals(Arrays.asList("傻瓜", "笨蛋"), result);
+    }
+
+    @Test
+    public void testValidateText_hasTag() {
+        testInitLocalCache();
+        // 准备参数
+        String text = "你是傻瓜，你是笨蛋";
+
+        // 调用
+        List<String> result = sensitiveWordService.validateText(text, singletonList("论坛"));
+        // 断言
+        assertEquals(singletonList("傻瓜"), result);
+    }
+
+    @Test
+    public void testIsTestValid_noTag() {
+        testInitLocalCache();
+        // 准备参数
+        String text = "你是傻瓜，你是笨蛋";
+
+        // 调用，断言
+        assertFalse(sensitiveWordService.isTextValid(text, null));
+    }
+
+    @Test
+    public void testIsTestValid_hasTag() {
+        testInitLocalCache();
+        // 准备参数
+        String text = "你是傻瓜，你是笨蛋";
+
+        // 调用，断言
+        assertFalse(sensitiveWordService.isTextValid(text, singletonList("论坛")));
+    }
+
+}