!665 修复敏感词单字符检验失败问题

Merge pull request !665 from 摸鱼散人/master
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芋道源码 2023-10-19 15:18:31 +00:00 committed by Gitee
commit 630890d0ac
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4 changed files with 58 additions and 16 deletions

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@ -88,11 +88,11 @@ public interface SensitiveWordService {
List<String> validateText(String text, List<String> tags);
/**
* 判断文本是否包含敏感词
* 判断文本是否合法
*
* @param text 文本
* @param tags 表述数组
* @return 是否包含
* @param tags 标签数组
* @return 是否合法 true-合法 false-不合法
*/
boolean isTextValid(String text, List<String> tags);

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@ -258,9 +258,7 @@ public class SensitiveWordServiceImpl implements SensitiveWordService {
if (trie == null) {
continue;
}
if (!trie.isValid(text)) {
return false;
}
return trie.isValid(text);
}
return true;
}

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@ -32,7 +32,7 @@ public class SimpleTrie {
public SimpleTrie(Collection<String> strs) {
children = new HashMap<>();
// 构建树
CollUtil.sort(strs, String::compareTo); // 排序优先使用较短的前缀
strs = CollUtil.sort(strs, String::compareTo); // 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
@ -56,11 +56,11 @@ public class SimpleTrie {
* 验证文本是否合法即不包含敏感词
*
* @param text 文本
* @return 是否 ok
* @return 是否 true-合法 false-不合法
*/
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++) {
for (int i = 0; i < text.length() ; i++) {
Map<Character, Object> child = (Map<Character, Object>) children.get(text.charAt(i));
if (child == null) {
continue;
@ -74,14 +74,17 @@ public class SimpleTrie {
}
/**
* 验证文本从指定位置开始是否包含某个敏感词
* 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
* @return 是否不包含 true-不包含 false-包含
*/
private boolean recursion(String text, int index, Map<Character, Object> child) {
if (child.containsKey(CHARACTER_END)) {
return false;
}
if (index == text.length()) {
return true;
}
@ -99,7 +102,7 @@ public class SimpleTrie {
*/
public List<String> validate(String text) {
Set<String> results = new HashSet<>();
for (int i = 0; i < text.length() - 1; i++) {
for (int i = 0; i < text.length(); i++) {
Character c = text.charAt(i);
Map<Character, Object> child = (Map<Character, Object>) children.get(c);
if (child == null) {
@ -123,10 +126,13 @@ public class SimpleTrie {
* @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
* @return 是否无敏感词 true- false-
*/
@SuppressWarnings("unchecked")
private static boolean recursionWithResult(String text, int index, Map<Character, Object> child, StringBuilder result) {
if (child.containsKey(CHARACTER_END)) {
return false;
}
if (index == text.length()) {
return true;
}

View File

@ -56,20 +56,28 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
SensitiveWordDO wordDO2 = randomPojo(SensitiveWordDO.class, o -> o.setName("笨蛋")
.setTags(singletonList("蔬菜")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
sensitiveWordMapper.insert(wordDO2);
SensitiveWordDO wordDO3 = randomPojo(SensitiveWordDO.class, o -> o.setName("")
.setTags(singletonList("测试")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
sensitiveWordMapper.insert(wordDO3);
SensitiveWordDO wordDO4 = randomPojo(SensitiveWordDO.class, o -> o.setName("白痴")
.setTags(singletonList("测试")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
sensitiveWordMapper.insert(wordDO4);
// 调用
sensitiveWordService.initLocalCache();
// 断言 sensitiveWordTagsCache 缓存
assertEquals(SetUtils.asSet("论坛", "蔬菜"), sensitiveWordService.getSensitiveWordTagSet());
assertEquals(SetUtils.asSet("论坛", "蔬菜","测试"), sensitiveWordService.getSensitiveWordTagSet());
// 断言 sensitiveWordCache
assertEquals(2, sensitiveWordService.getSensitiveWordCache().size());
assertEquals(4, sensitiveWordService.getSensitiveWordCache().size());
assertPojoEquals(wordDO1, sensitiveWordService.getSensitiveWordCache().get(0));
assertPojoEquals(wordDO2, sensitiveWordService.getSensitiveWordCache().get(1));
assertPojoEquals(wordDO3, sensitiveWordService.getSensitiveWordCache().get(2));
// 断言 tagSensitiveWordTries 缓存
assertNotNull(sensitiveWordService.getDefaultSensitiveWordTrie());
assertEquals(2, sensitiveWordService.getTagSensitiveWordTries().size());
assertEquals(3, sensitiveWordService.getTagSensitiveWordTries().size());
assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("论坛"));
assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("蔬菜"));
assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("测试"));
}
@Test
@ -236,6 +244,14 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
List<String> result = sensitiveWordService.validateText(text, null);
// 断言
assertEquals(Arrays.asList("傻瓜", "笨蛋"), result);
// 准备参数
String text2 = "你是傻瓜,你是笨蛋,你是白";
// 调用
List<String> result2 = sensitiveWordService.validateText(text2, null);
// 断言
assertEquals(Arrays.asList("傻瓜", "笨蛋",""), result2);
}
@Test
@ -248,6 +264,16 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
List<String> result = sensitiveWordService.validateText(text, singletonList("论坛"));
// 断言
assertEquals(singletonList("傻瓜"), result);
// 准备参数
String text2 = "你是白";
// 调用
List<String> result2 = sensitiveWordService.validateText(text2, singletonList("测试"));
// 断言
assertEquals(singletonList(""), result2);
}
@Test
@ -258,6 +284,12 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
// 调用断言
assertFalse(sensitiveWordService.isTextValid(text, null));
// 准备参数
String text2 = "你是白";
// 调用断言
assertFalse(sensitiveWordService.isTextValid(text2, null));
}
@Test
@ -268,6 +300,12 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
// 调用断言
assertFalse(sensitiveWordService.isTextValid(text, singletonList("论坛")));
// 准备参数
String text2 = "你是白";
// 调用断言
assertFalse(sensitiveWordService.isTextValid(text2, singletonList("测试")));
}
}