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https://github.com/houbb/sensitive-word.git
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[Feature] add for new
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@@ -482,4 +482,10 @@
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| 序号 | 变更类型 | 说明 | 时间 | 备注 |
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| 序号 | 变更类型 | 说明 | 时间 | 备注 |
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|:---|:-----|----------------|:------------------|:--------|
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|:---|:-----|----------------|:------------------|:--------|
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| 1 | O | opencc4j 简化繁简体 | 2025-9-6 16:22:24 | 优化性能+内存 |
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| 1 | O | opencc4j 简化繁简体 | 2025-9-6 16:22:24 | 优化性能+内存 |
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# release_0.29.4
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| 序号 | 变更类型 | 说明 | 时间 | 备注 |
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|:---|:-----|------------|:--------------------|:-----------|
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| 1 | O | 默认改为英文全词匹配 | 2025-12-25 00:37:52 | 更加符合实际使用场景 |
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@@ -110,7 +110,7 @@ v0.24.0 开始内置支持对敏感词的分类细化,不过工作量比较大
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<dependency>
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<dependency>
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<groupId>com.github.houbb</groupId>
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<groupId>com.github.houbb</groupId>
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<artifactId>sensitive-word</artifactId>
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<artifactId>sensitive-word</artifactId>
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<version>0.29.2</version>
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<version>0.29.4</version>
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</dependency>
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</dependency>
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```
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```
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@@ -767,6 +767,7 @@ WordResultConditions 工具类可以获取匹配策略
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| 实现 | 说明 | 支持版本 |
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| 实现 | 说明 | 支持版本 |
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|:-------------------------------------------|:--------------------|:--------|
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|:-------------------------------------------|:--------------------|:--------|
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| defaults | 默认策略 | v0.29.4 |
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| alwaysTrue | 恒为真 | |
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| alwaysTrue | 恒为真 | |
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| englishWordMatch | 英文单词全词匹配 | v0.13.0 |
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| englishWordMatch | 英文单词全词匹配 | v0.13.0 |
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| englishWordNumMatch | 英文单词/数字全词匹配 | v0.20.0 |
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| englishWordNumMatch | 英文单词/数字全词匹配 | v0.20.0 |
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2
pom.xml
2
pom.xml
@@ -6,7 +6,7 @@
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<groupId>com.github.houbb</groupId>
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<groupId>com.github.houbb</groupId>
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<artifactId>sensitive-word</artifactId>
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<artifactId>sensitive-word</artifactId>
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<version>0.29.3</version>
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<version>0.29.4</version>
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<properties>
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<properties>
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<!--============================== All Plugins START ==============================-->
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<!--============================== All Plugins START ==============================-->
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@@ -10,9 +10,9 @@ ECHO "============================= RELEASE START..."
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:: 版本号信息(需要手动指定)
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:: 版本号信息(需要手动指定)
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:::: 旧版本名称
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:::: 旧版本名称
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SET version=0.28.0
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SET version=0.29.4
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:::: 新版本名称
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:::: 新版本名称
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SET newVersion=0.29.0
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SET newVersion=0.29.4
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:::: 组织名称
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:::: 组织名称
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SET groupName=com.github.houbb
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SET groupName=com.github.houbb
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:::: 项目名称
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:::: 项目名称
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@@ -189,7 +189,7 @@ public class SensitiveWordBs implements ISensitiveWordDestroy {
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* 敏感词结果匹配策略
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* 敏感词结果匹配策略
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* @since 0.13.0
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* @since 0.13.0
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*/
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*/
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private IWordResultCondition wordResultCondition = WordResultConditions.alwaysTrue();
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private IWordResultCondition wordResultCondition = WordResultConditions.defaults();
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/**
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/**
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* 单词检测策略
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* 单词检测策略
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@@ -14,6 +14,15 @@ import java.util.List;
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*/
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*/
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public final class WordResultConditions {
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public final class WordResultConditions {
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/**
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* 默认策略
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* @return 结果
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* @since 0.29.4
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*/
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public static IWordResultCondition defaults() {
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return englishWordMatch();
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}
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/**
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/**
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* 恒为真
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* 恒为真
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* @return 结果
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* @return 结果
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@@ -1,11 +1,15 @@
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package com.github.houbb.sensitive.word.bs;
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package com.github.houbb.sensitive.word.bs;
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import com.github.houbb.sensitive.word.api.IWordDeny;
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import com.github.houbb.sensitive.word.support.allow.WordAllows;
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import com.github.houbb.sensitive.word.support.allow.WordAllows;
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import com.github.houbb.sensitive.word.support.deny.WordDenys;
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import com.github.houbb.sensitive.word.support.deny.WordDenys;
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import com.github.houbb.sensitive.word.support.replace.WordReplaces;
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import com.github.houbb.sensitive.word.support.replace.WordReplaces;
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import com.github.houbb.sensitive.word.support.resultcondition.WordResultConditions;
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import org.junit.Assert;
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import org.junit.Assert;
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import org.junit.Test;
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import org.junit.Test;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.List;
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import java.util.List;
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/**
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/**
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@@ -114,4 +118,22 @@ public class SensitiveWordBsTest {
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Assert.assertTrue(wordBs.contains(text));
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Assert.assertTrue(wordBs.contains(text));
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}
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}
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/**
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* 是否包含
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* @since 0.29.4
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*/
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@Test
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public void wordMatchTest() {
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IWordDeny wordDeny = new IWordDeny() {
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@Override
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public List<String> deny() {
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return Arrays.asList("av");
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}
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};
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final String text = "have a nice day";
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Assert.assertFalse(SensitiveWordBs.newInstance().wordDeny(wordDeny).init().contains(text));
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Assert.assertTrue(SensitiveWordBs.newInstance().wordDeny(wordDeny).wordResultCondition(WordResultConditions.alwaysTrue()).init().contains(text));
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}
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}
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}
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