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修复敏感词检验问题
1.修复排序,优先使用较短的前缀失效问题 2.修复敏感词为单个字符校验失败问题
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@ -88,11 +88,11 @@ public interface SensitiveWordService {
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List<String> validateText(String text, List<String> tags);
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/**
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* 判断文本是否包含敏感词
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* 判断文本是否合法
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*
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* @param text 文本
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* @param tags 表述数组
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* @return 是否包含
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* @param tags 标签数组
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* @return 是否合法 true-合法 false-不合法
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*/
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boolean isTextValid(String text, List<String> tags);
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@ -258,9 +258,7 @@ public class SensitiveWordServiceImpl implements SensitiveWordService {
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if (trie == null) {
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continue;
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}
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if (!trie.isValid(text)) {
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return false;
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}
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return trie.isValid(text);
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}
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return true;
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}
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@ -32,7 +32,7 @@ public class SimpleTrie {
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public SimpleTrie(Collection<String> strs) {
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children = new HashMap<>();
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// 构建树
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CollUtil.sort(strs, String::compareTo); // 排序,优先使用较短的前缀
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strs = CollUtil.sort(strs, String::compareTo); // 排序,优先使用较短的前缀
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for (String str : strs) {
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Map<Character, Object> child = children;
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// 遍历每个字符
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@ -56,11 +56,11 @@ public class SimpleTrie {
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* 验证文本是否合法,即不包含敏感词
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*
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* @param text 文本
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* @return 是否 ok
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* @return 是否 true-合法 false-不合法
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*/
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public boolean isValid(String text) {
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// 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
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for (int i = 0; i < text.length() - 1; i++) {
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for (int i = 0; i < text.length() ; i++) {
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Map<Character, Object> child = (Map<Character, Object>) children.get(text.charAt(i));
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if (child == null) {
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continue;
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@ -74,14 +74,17 @@ public class SimpleTrie {
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}
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/**
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* 验证文本从指定位置开始,是否包含某个敏感词
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* 验证文本从指定位置开始,是否不包含某个敏感词
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*
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* @param text 文本
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* @param index 开始位置
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* @param child 节点(当前遍历到的)
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* @return 是否包含
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* @return 是否不包含 true-不包含 false-包含
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*/
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private boolean recursion(String text, int index, Map<Character, Object> child) {
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if (child.containsKey(CHARACTER_END)) {
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return false;
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}
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if (index == text.length()) {
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return true;
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}
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@ -99,7 +102,7 @@ public class SimpleTrie {
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*/
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public List<String> validate(String text) {
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Set<String> results = new HashSet<>();
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for (int i = 0; i < text.length() - 1; i++) {
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for (int i = 0; i < text.length(); i++) {
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Character c = text.charAt(i);
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Map<Character, Object> child = (Map<Character, Object>) children.get(c);
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if (child == null) {
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@ -123,10 +126,13 @@ public class SimpleTrie {
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* @param index 开始未知
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* @param child 节点(当前遍历到的)
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* @param result 返回敏感词
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* @return 是否有敏感词
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* @return 是否无敏感词 true-无 false-有
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*/
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@SuppressWarnings("unchecked")
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private static boolean recursionWithResult(String text, int index, Map<Character, Object> child, StringBuilder result) {
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if (child.containsKey(CHARACTER_END)) {
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return false;
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}
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if (index == text.length()) {
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return true;
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}
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@ -56,20 +56,28 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
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SensitiveWordDO wordDO2 = randomPojo(SensitiveWordDO.class, o -> o.setName("笨蛋")
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.setTags(singletonList("蔬菜")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
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sensitiveWordMapper.insert(wordDO2);
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SensitiveWordDO wordDO3 = randomPojo(SensitiveWordDO.class, o -> o.setName("白")
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.setTags(singletonList("测试")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
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sensitiveWordMapper.insert(wordDO3);
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SensitiveWordDO wordDO4 = randomPojo(SensitiveWordDO.class, o -> o.setName("白痴")
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.setTags(singletonList("测试")).setStatus(CommonStatusEnum.ENABLE.getStatus()));
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sensitiveWordMapper.insert(wordDO4);
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// 调用
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sensitiveWordService.initLocalCache();
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// 断言 sensitiveWordTagsCache 缓存
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assertEquals(SetUtils.asSet("论坛", "蔬菜"), sensitiveWordService.getSensitiveWordTagSet());
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assertEquals(SetUtils.asSet("论坛", "蔬菜","测试"), sensitiveWordService.getSensitiveWordTagSet());
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// 断言 sensitiveWordCache
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assertEquals(2, sensitiveWordService.getSensitiveWordCache().size());
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assertEquals(4, sensitiveWordService.getSensitiveWordCache().size());
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assertPojoEquals(wordDO1, sensitiveWordService.getSensitiveWordCache().get(0));
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assertPojoEquals(wordDO2, sensitiveWordService.getSensitiveWordCache().get(1));
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assertPojoEquals(wordDO3, sensitiveWordService.getSensitiveWordCache().get(2));
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// 断言 tagSensitiveWordTries 缓存
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assertNotNull(sensitiveWordService.getDefaultSensitiveWordTrie());
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assertEquals(2, sensitiveWordService.getTagSensitiveWordTries().size());
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assertEquals(3, sensitiveWordService.getTagSensitiveWordTries().size());
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assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("论坛"));
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assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("蔬菜"));
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assertNotNull(sensitiveWordService.getTagSensitiveWordTries().get("测试"));
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}
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@Test
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@ -236,6 +244,14 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
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List<String> result = sensitiveWordService.validateText(text, null);
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// 断言
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assertEquals(Arrays.asList("傻瓜", "笨蛋"), result);
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// 准备参数
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String text2 = "你是傻瓜,你是笨蛋,你是白";
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// 调用
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List<String> result2 = sensitiveWordService.validateText(text2, null);
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// 断言
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assertEquals(Arrays.asList("傻瓜", "笨蛋","白"), result2);
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}
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@Test
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@ -248,6 +264,16 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
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List<String> result = sensitiveWordService.validateText(text, singletonList("论坛"));
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// 断言
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assertEquals(singletonList("傻瓜"), result);
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// 准备参数
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String text2 = "你是白";
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// 调用
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List<String> result2 = sensitiveWordService.validateText(text2, singletonList("测试"));
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// 断言
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assertEquals(singletonList("白"), result2);
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}
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@Test
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@ -258,6 +284,12 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
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// 调用,断言
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assertFalse(sensitiveWordService.isTextValid(text, null));
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// 准备参数
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String text2 = "你是白";
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// 调用,断言
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assertFalse(sensitiveWordService.isTextValid(text2, null));
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}
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@Test
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@ -268,6 +300,12 @@ public class SensitiveWordServiceImplTest extends BaseDbUnitTest {
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// 调用,断言
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assertFalse(sensitiveWordService.isTextValid(text, singletonList("论坛")));
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// 准备参数
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String text2 = "你是白";
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// 调用,断言
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assertFalse(sensitiveWordService.isTextValid(text2, singletonList("测试")));
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}
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}
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