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add FoundWord
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@ -3,7 +3,7 @@
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-------------------------------------------------------------------------------------------------------------
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# 5.5.3 (2020-12-07)
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# 5.5.3 (2020-12-08)
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### 新特性
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* 【core 】 IdcardUtil增加行政区划83(issue#1277@Github)
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@ -12,6 +12,7 @@
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* 【db 】 Db增加使用sql的page方法(issue#247@Gitee)
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* 【cache 】 CacheObj的isExpired()逻辑修改(issue#1295@Github)
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* 【json 】 JSONStrFormater改为JSONStrFormatter
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* 【dfa 】 增加FoundWord(pr#1290@Github)
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### Bug修复
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* 【cache 】 修复Cache中get重复misCount计数问题(issue#1281@Github)
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@ -0,0 +1,34 @@
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package cn.hutool.core.lang;
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/**
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* 片段默认实现
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*
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* @param <T> 数字类型,用于表示位置index
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* @author looly
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* @since 5.5.3
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*/
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public class DefaultSegment<T extends Number> implements Segment<T> {
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protected T startIndex;
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protected T endIndex;
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/**
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* 构造
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* @param startIndex 起始位置
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* @param endIndex 结束位置
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*/
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public DefaultSegment(T startIndex, T endIndex) {
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this.startIndex = startIndex;
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this.endIndex = endIndex;
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}
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@Override
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public T getStartIndex() {
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return this.startIndex;
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}
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@Override
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public T getEndIndex() {
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return this.endIndex;
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}
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}
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41
hutool-core/src/main/java/cn/hutool/core/lang/Segment.java
Normal file
41
hutool-core/src/main/java/cn/hutool/core/lang/Segment.java
Normal file
@ -0,0 +1,41 @@
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package cn.hutool.core.lang;
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import cn.hutool.core.convert.Convert;
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import cn.hutool.core.util.NumberUtil;
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import java.lang.reflect.Type;
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/**
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* 片段表示,用于表示文本、集合等数据结构的一个区间。
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* @param <T> 数字类型,用于表示位置index
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*
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* @author looly
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* @since 5.5.3
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*/
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public interface Segment<T extends Number> {
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/**
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* 获取起始位置
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*
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* @return 起始位置
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*/
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T getStartIndex();
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/**
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* 获取结束位置
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*
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* @return 结束位置
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*/
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T getEndIndex();
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/**
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* 片段长度,默认计算方法为abs({@link #getEndIndex()} - {@link #getEndIndex()})
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*
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* @return 片段长度
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*/
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default T length(){
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final T start = Assert.notNull(getStartIndex(), "Start index must be not null!");
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final T end = Assert.notNull(getEndIndex(), "End index must be not null!");
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return Convert.convert((Type) start.getClass(), NumberUtil.sub(end, start).abs());
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}
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}
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@ -523,7 +523,8 @@ public class StrBuilder implements CharSequence, Appendable, Serializable {
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* @param minimumCapacity 最小容量
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*/
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private void ensureCapacity(int minimumCapacity) {
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if (minimumCapacity > value.length) {
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// overflow-conscious code
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if (minimumCapacity - value.length < 0) {
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expandCapacity(minimumCapacity);
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}
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}
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@ -535,8 +536,9 @@ public class StrBuilder implements CharSequence, Appendable, Serializable {
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* @param minimumCapacity 需要扩展的最小容量
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*/
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private void expandCapacity(int minimumCapacity) {
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int newCapacity = value.length * 2 + 2;
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if (newCapacity < minimumCapacity) {
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int newCapacity = (value.length << 1) + 2;
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// overflow-conscious code
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if (newCapacity - minimumCapacity < 0) {
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newCapacity = minimumCapacity;
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}
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if (newCapacity < 0) {
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@ -383,7 +383,7 @@ public class ObjectUtil {
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* 克隆对象<br>
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* 如果对象实现Cloneable接口,调用其clone方法<br>
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* 如果实现Serializable接口,执行深度克隆<br>
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* 否则返回<code>null</code>
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* 否则返回{@code null}
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*
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* @param <T> 对象类型
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* @param obj 被克隆对象
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@ -606,11 +606,24 @@ public class ObjectUtil {
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return ArrayUtil.emptyCount(objs);
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}
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/**
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* 是否存在{@code null}对象,通过{@link ObjectUtil#isNull(Object)} 判断元素
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*
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* @param objs 被检查对象
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* @return 是否存在
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* @since 5.5.3
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* @see ArrayUtil#hasNull(Object[])
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*/
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public static boolean hasNull(Object... objs) {
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return ArrayUtil.hasNull(objs);
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}
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/**
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* 是否存在{@code null}或空对象,通过{@link ObjectUtil#isEmpty(Object)} 判断元素
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*
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* @param objs 被检查对象
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* @return 是否存在
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* @see ArrayUtil#hasEmpty(Object...)
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*/
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public static boolean hasEmpty(Object... objs) {
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return ArrayUtil.hasEmpty(objs);
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@ -105,7 +105,7 @@ public class StrUtil {
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public static final char C_COLON = CharUtil.COLON;
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/**
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* 字符常量:艾特 <code>'@'</code>
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* 字符常量:艾特 {@code '@'}
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*/
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public static final char C_AT = CharUtil.AT;
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@ -210,7 +210,7 @@ public class StrUtil {
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public static final String COLON = ":";
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/**
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* 字符串常量:艾特 <code>"@"</code>
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* 字符串常量:艾特 {@code "@"}
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*/
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public static final String AT = "@";
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@ -246,7 +246,7 @@ public class StrUtil {
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public static final String HTML_GT = ">";
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/**
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* 字符串常量:空 JSON <code>"{}"</code>
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* 字符串常量:空 JSON {@code "{}"}
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*/
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public static final String EMPTY_JSON = "{}";
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@ -542,7 +542,7 @@ public class StrUtil {
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}
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/**
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* 如果字符串是 <code>null</code>,则返回指定默认字符串,否则返回字符串本身。
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* 如果字符串是 {@code null},则返回指定默认字符串,否则返回字符串本身。
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*
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* <pre>
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* nullToDefault(null, "default") = "default"
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@ -560,7 +560,7 @@ public class StrUtil {
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}
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/**
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* 如果字符串是<code>null</code>或者"",则返回指定默认字符串,否则返回字符串本身。
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* 如果字符串是{@code null}或者"",则返回指定默认字符串,否则返回字符串本身。
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*
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* <pre>
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* emptyToDefault(null, "default") = "default"
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@ -579,7 +579,7 @@ public class StrUtil {
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}
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/**
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* 如果字符串是<code>null</code>或者""或者空白,则返回指定默认字符串,否则返回字符串本身。
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* 如果字符串是{@code null}或者""或者空白,则返回指定默认字符串,否则返回字符串本身。
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*
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* <pre>
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* emptyToDefault(null, "default") = "default"
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@ -598,7 +598,7 @@ public class StrUtil {
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}
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/**
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* 当给定字符串为空字符串时,转换为<code>null</code>
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* 当给定字符串为空字符串时,转换为{@code null}
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*
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* @param str 被转换的字符串
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* @return 转换后的字符串
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@ -774,10 +774,10 @@ public class StrUtil {
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// ------------------------------------------------------------------------ Trim
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/**
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* 除去字符串头尾部的空白,如果字符串是<code>null</code>,依然返回<code>null</code>。
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* 除去字符串头尾部的空白,如果字符串是{@code null},依然返回{@code null}。
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*
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* <p>
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* 注意,和<code>String.trim</code>不同,此方法使用<code>NumberUtil.isBlankChar</code> 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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* 注意,和{@link String#trim()}不同,此方法使用{@link CharUtil#isBlankChar(char)} 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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*
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* <pre>
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* trim(null) = null
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@ -788,7 +788,7 @@ public class StrUtil {
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* </pre>
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*
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* @param str 要处理的字符串
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* @return 除去头尾空白的字符串,如果原字串为<code>null</code>,则返回<code>null</code>
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* @return 除去头尾空白的字符串,如果原字串为{@code null},则返回{@code null}
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*/
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public static String trim(CharSequence str) {
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return (null == str) ? null : trim(str, 0);
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@ -813,7 +813,7 @@ public class StrUtil {
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}
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/**
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* 除去字符串头尾部的空白,如果字符串是{@code null},返回<code>""</code>。
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* 除去字符串头尾部的空白,如果字符串是{@code null},返回{@code ""}。
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*
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* <pre>
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* StrUtil.trimToEmpty(null) = ""
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@ -852,10 +852,10 @@ public class StrUtil {
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}
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/**
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* 除去字符串头部的空白,如果字符串是<code>null</code>,则返回<code>null</code>。
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* 除去字符串头部的空白,如果字符串是{@code null},则返回{@code null}。
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*
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* <p>
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* 注意,和<code>String.trim</code>不同,此方法使用<code>CharUtil.isBlankChar</code> 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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* 注意,和{@link String#trim()}不同,此方法使用{@link CharUtil#isBlankChar(char)} 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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*
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* <pre>
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* trimStart(null) = null
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@ -867,17 +867,17 @@ public class StrUtil {
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* </pre>
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*
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* @param str 要处理的字符串
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* @return 除去空白的字符串,如果原字串为<code>null</code>或结果字符串为<code>""</code>,则返回 <code>null</code>
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* @return 除去空白的字符串,如果原字串为{@code null}或结果字符串为{@code ""},则返回 {@code null}
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*/
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public static String trimStart(CharSequence str) {
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return trim(str, -1);
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}
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/**
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* 除去字符串尾部的空白,如果字符串是<code>null</code>,则返回<code>null</code>。
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* 除去字符串尾部的空白,如果字符串是{@code null},则返回{@code null}。
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*
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* <p>
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* 注意,和<code>String.trim</code>不同,此方法使用<code>CharUtil.isBlankChar</code> 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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* 注意,和{@link String#trim()}不同,此方法使用{@link CharUtil#isBlankChar(char)} 来判定空白, 因而可以除去英文字符集之外的其它空白,如中文空格。
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*
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* <pre>
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* trimEnd(null) = null
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@ -889,47 +889,45 @@ public class StrUtil {
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* </pre>
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*
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* @param str 要处理的字符串
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* @return 除去空白的字符串,如果原字串为<code>null</code>或结果字符串为<code>""</code>,则返回 <code>null</code>
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* @return 除去空白的字符串,如果原字串为{@code null}或结果字符串为{@code ""},则返回 {@code null}
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*/
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public static String trimEnd(CharSequence str) {
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return trim(str, 1);
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}
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/**
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* 除去字符串头尾部的空白符,如果字符串是<code>null</code>,依然返回<code>null</code>。
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* 除去字符串头尾部的空白符,如果字符串是{@code null},依然返回{@code null}。
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*
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* @param str 要处理的字符串
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* @param mode <code>-1</code>表示trimStart,<code>0</code>表示trim全部, <code>1</code>表示trimEnd
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* @return 除去指定字符后的的字符串,如果原字串为<code>null</code>,则返回<code>null</code>
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* @param mode {@code -1}表示trimStart,{@code 0}表示trim全部, {@code 1}表示trimEnd
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* @return 除去指定字符后的的字符串,如果原字串为{@code null},则返回{@code null}
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*/
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public static String trim(CharSequence str, int mode) {
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String result;
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if (str == null) {
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return null;
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}
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int length = str.length();
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int start = 0;
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int end = length;
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// 扫描字符串头部
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if (mode <= 0) {
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while ((start < end) && (CharUtil.isBlankChar(str.charAt(start)))) {
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start++;
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result = null;
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} else {
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int length = str.length();
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int start = 0;
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int end = length;// 扫描字符串头部
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if (mode <= 0) {
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while ((start < end) && (CharUtil.isBlankChar(str.charAt(start)))) {
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start++;
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}
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}// 扫描字符串尾部
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if (mode >= 0) {
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while ((start < end) && (CharUtil.isBlankChar(str.charAt(end - 1)))) {
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end--;
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}
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}
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if ((start > 0) || (end < length)) {
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result = str.toString().substring(start, end);
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} else {
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result = str.toString();
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}
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}
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// 扫描字符串尾部
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if (mode >= 0) {
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while ((start < end) && (CharUtil.isBlankChar(str.charAt(end - 1)))) {
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end--;
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}
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}
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if ((start > 0) || (end < length)) {
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return str.toString().substring(start, end);
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}
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return str.toString();
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return result;
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}
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/**
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@ -1251,7 +1249,7 @@ public class StrUtil {
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}
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/**
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* 是否包含特定字符,忽略大小写,如果给定两个参数都为<code>null</code>,返回true
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* 是否包含特定字符,忽略大小写,如果给定两个参数都为{@code null},返回true
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*
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* @param str 被检测字符串
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* @param testStr 被测试是否包含的字符串
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@ -1971,7 +1969,7 @@ public class StrUtil {
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* abcdefgh 2 3 =》 c <br>
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* abcdefgh 2 -3 =》 cde <br>
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*
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* @param str String
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* @param str String
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* @param fromIndexInclude 开始的index(包括)
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* @param toIndexExclude 结束的index(不包括)
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* @return 字串
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@ -2094,7 +2092,7 @@ public class StrUtil {
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/**
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* 切割指定位置之前部分的字符串
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*
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* @param string 字符串
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* @param string 字符串
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* @param toIndexExclude 切割到的位置(不包括)
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* @return 切割后的剩余的前半部分字符串
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*/
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@ -2406,12 +2404,12 @@ public class StrUtil {
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final List<String> result = new LinkedList<>();
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||||
final String[] split = split(str, prefix);
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||||
if(prefix.equals(suffix)){
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||||
if (prefix.equals(suffix)) {
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||||
// 前后缀字符相同,单独处理
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||||
for (int i = 1, length = split.length - 1; i < length; i += 2) {
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||||
result.add(split[i]);
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||||
}
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||||
} else{
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||||
} else {
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||||
int suffixIndex;
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||||
for (String fragment : split) {
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||||
suffixIndex = fragment.indexOf(suffix.toString());
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@ -2441,7 +2439,7 @@ public class StrUtil {
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* StrUtil.subBetweenAll("#hello# world#!", "#"); = ["hello"]
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* </pre>
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*
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||||
* @param str 被切割的字符串
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* @param str 被切割的字符串
|
||||
* @param prefixAndSuffix 截取开始和结束的字符串标识
|
||||
* @return 截取后的字符串
|
||||
* @author gotanks
|
||||
@ -2620,7 +2618,7 @@ public class StrUtil {
|
||||
*
|
||||
* @param str1 要比较的字符串1
|
||||
* @param str2 要比较的字符串2
|
||||
* @return 如果两个字符串相同,或者都是<code>null</code>,则返回<code>true</code>
|
||||
* @return 如果两个字符串相同,或者都是{@code null},则返回{@code true}
|
||||
*/
|
||||
public static boolean equals(CharSequence str1, CharSequence str2) {
|
||||
return equals(str1, str2, false);
|
||||
@ -2639,7 +2637,7 @@ public class StrUtil {
|
||||
*
|
||||
* @param str1 要比较的字符串1
|
||||
* @param str2 要比较的字符串2
|
||||
* @return 如果两个字符串相同,或者都是<code>null</code>,则返回<code>true</code>
|
||||
* @return 如果两个字符串相同,或者都是{@code null},则返回{@code true}
|
||||
*/
|
||||
public static boolean equalsIgnoreCase(CharSequence str1, CharSequence str2) {
|
||||
return equals(str1, str2, true);
|
||||
@ -2651,7 +2649,7 @@ public class StrUtil {
|
||||
* @param str1 要比较的字符串1
|
||||
* @param str2 要比较的字符串2
|
||||
* @param ignoreCase 是否忽略大小写
|
||||
* @return 如果两个字符串相同,或者都是<code>null</code>,则返回<code>true</code>
|
||||
* @return 如果两个字符串相同,或者都是{@code null},则返回{@code true}
|
||||
* @since 3.2.0
|
||||
*/
|
||||
public static boolean equals(CharSequence str1, CharSequence str2, boolean ignoreCase) {
|
||||
@ -3431,7 +3429,7 @@ public class StrUtil {
|
||||
* StrUtil.padAfter("123", 2, '0');//"23"
|
||||
* </pre>
|
||||
*
|
||||
* @param str 字符串,如果为<code>null</code>,直接返回null
|
||||
* @param str 字符串,如果为{@code null},直接返回null
|
||||
* @param minLength 最小长度
|
||||
* @param padChar 补充的字符
|
||||
* @return 补充后的字符串
|
||||
@ -3459,7 +3457,7 @@ public class StrUtil {
|
||||
* StrUtil.padAfter("123", 2, "ABC");//"23"
|
||||
* </pre>
|
||||
*
|
||||
* @param str 字符串,如果为<code>null</code>,直接返回null
|
||||
* @param str 字符串,如果为{@code null},直接返回null
|
||||
* @param minLength 最小长度
|
||||
* @param padStr 补充的字符
|
||||
* @return 补充后的字符串
|
||||
|
@ -1,49 +1,61 @@
|
||||
package cn.hutool.dfa;
|
||||
|
||||
/**
|
||||
* @author 肖海斌
|
||||
* <p>
|
||||
* 匹配到的敏感词,包含敏感词,text中匹配敏感词的内容,以及匹配内容在text中的下标,
|
||||
* 下标可以用来做敏感词的进一步处理,如果替换成**
|
||||
*/
|
||||
public class FoundWord {
|
||||
/**
|
||||
* 生效的敏感词
|
||||
*/
|
||||
private String word;
|
||||
/**
|
||||
* 敏感词匹配到的内容
|
||||
*/
|
||||
private String foundWord;
|
||||
/**
|
||||
* 匹配内容在待分析字符串中的开始位置
|
||||
*/
|
||||
private int startIndex;
|
||||
/**
|
||||
* 匹配内容在待分析字符串中的结束位置
|
||||
*/
|
||||
private int endIndex;
|
||||
import cn.hutool.core.lang.DefaultSegment;
|
||||
|
||||
public FoundWord(String word, String foundWord, int start, int end) {
|
||||
/**
|
||||
* <p>
|
||||
* 匹配到的单词,包含单词,text中匹配单词的内容,以及匹配内容在text中的下标,
|
||||
* 下标可以用来做单词的进一步处理,如果替换成**
|
||||
*
|
||||
* @author 肖海斌
|
||||
*/
|
||||
public class FoundWord extends DefaultSegment<Integer> {
|
||||
/**
|
||||
* 生效的单词,即单词树中的词
|
||||
*/
|
||||
private final String word;
|
||||
/**
|
||||
* 单词匹配到的内容,即文中的单词
|
||||
*/
|
||||
private final String foundWord;
|
||||
|
||||
/**
|
||||
* 构造
|
||||
*
|
||||
* @param word 生效的单词,即单词树中的词
|
||||
* @param foundWord 单词匹配到的内容,即文中的单词
|
||||
* @param startIndex 起始位置(包含)
|
||||
* @param endIndex 结束位置(包含)
|
||||
*/
|
||||
public FoundWord(String word, String foundWord, int startIndex, int endIndex) {
|
||||
super(startIndex, endIndex);
|
||||
this.word = word;
|
||||
this.foundWord = foundWord;
|
||||
this.startIndex = start;
|
||||
this.endIndex = end;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取生效的单词,即单词树中的词
|
||||
*
|
||||
* @return 生效的单词
|
||||
*/
|
||||
public String getWord() {
|
||||
return word;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取单词匹配到的内容,即文中的单词
|
||||
* @return 单词匹配到的内容
|
||||
*/
|
||||
public String getFoundWord() {
|
||||
return foundWord;
|
||||
}
|
||||
|
||||
public int getStartIndex() {
|
||||
return startIndex;
|
||||
}
|
||||
|
||||
public int getEndIndex() {
|
||||
return endIndex;
|
||||
/**
|
||||
* 默认的,只输出匹配到的关键字
|
||||
* @return 匹配到的关键字
|
||||
*/
|
||||
@Override
|
||||
public String toString() {
|
||||
return this.foundWord;
|
||||
}
|
||||
}
|
||||
|
@ -1,6 +1,6 @@
|
||||
package cn.hutool.dfa;
|
||||
|
||||
import cn.hutool.core.collection.CollectionUtil;
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.lang.Filter;
|
||||
import cn.hutool.core.thread.ThreadUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
@ -25,7 +25,7 @@ public final class SensitiveUtil {
|
||||
* @return 是否已经被初始化
|
||||
*/
|
||||
public static boolean isInited() {
|
||||
return !sensitiveTree.isEmpty();
|
||||
return false == sensitiveTree.isEmpty();
|
||||
}
|
||||
|
||||
/**
|
||||
@ -117,19 +117,44 @@ public final class SensitiveUtil {
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundFirstSensitive(String)}
|
||||
*/
|
||||
public static FoundWord getFindedFirstSensitive(String text) {
|
||||
@Deprecated
|
||||
public static String getFindedFirstSensitive(String text) {
|
||||
return sensitiveTree.match(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的第一个敏感词
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 敏感词
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public static FoundWord getFoundFirstSensitive(String text) {
|
||||
return sensitiveTree.matchWord(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的第一个敏感词
|
||||
*
|
||||
* @param obj bean,会被转为JSON字符串
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundFirstSensitive(Object)}
|
||||
*/
|
||||
@Deprecated
|
||||
public static String getFindedFirstSensitive(Object obj) {
|
||||
return sensitiveTree.match(JSONUtil.toJsonStr(obj));
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的第一个敏感词
|
||||
*
|
||||
* @param obj bean,会被转为JSON字符串
|
||||
* @return 敏感词
|
||||
*/
|
||||
public static FoundWord getFindedFirstSensitive(Object obj) {
|
||||
return sensitiveTree.match(JSONUtil.toJsonStr(obj));
|
||||
public static FoundWord getFoundFirstSensitive(Object obj) {
|
||||
return sensitiveTree.matchWord(JSONUtil.toJsonStr(obj));
|
||||
}
|
||||
|
||||
/**
|
||||
@ -137,11 +162,40 @@ public final class SensitiveUtil {
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundAllSensitive(String)}
|
||||
*/
|
||||
public static List<FoundWord> getFindedAllSensitive(String text) {
|
||||
@Deprecated
|
||||
public static List<String> getFindedAllSensitive(String text) {
|
||||
return sensitiveTree.matchAll(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词
|
||||
*
|
||||
* @param text 文本
|
||||
* @return 敏感词
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public static List<FoundWord> getFoundAllSensitive(String text) {
|
||||
return sensitiveTree.matchAllWords(text);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
* 贪婪匹配(最长匹配)原则:假如关键字a,ab,最长匹配将匹配[a, ab]
|
||||
*
|
||||
* @param text 文本
|
||||
* @param isDensityMatch 是否使用密集匹配原则
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundAllSensitive(String, boolean, boolean)}
|
||||
*/
|
||||
@Deprecated
|
||||
public static List<String> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
@ -152,8 +206,8 @@ public final class SensitiveUtil {
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 敏感词
|
||||
*/
|
||||
public static List<FoundWord> getFindedAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return sensitiveTree.matchAll(text, -1, isDensityMatch, isGreedMatch);
|
||||
public static List<FoundWord> getFoundAllSensitive(String text, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return sensitiveTree.matchAllWords(text, -1, isDensityMatch, isGreedMatch);
|
||||
}
|
||||
|
||||
/**
|
||||
@ -161,11 +215,24 @@ public final class SensitiveUtil {
|
||||
*
|
||||
* @param bean 对象,会被转为JSON
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundAllSensitive(Object)}
|
||||
*/
|
||||
public static List<FoundWord> getFindedAllSensitive(Object bean) {
|
||||
@Deprecated
|
||||
public static List<String> getFindedAllSensitive(Object bean) {
|
||||
return sensitiveTree.matchAll(JSONUtil.toJsonStr(bean));
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词
|
||||
*
|
||||
* @param bean 对象,会被转为JSON
|
||||
* @return 敏感词
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public static List<FoundWord> getFoundAllSensitive(Object bean) {
|
||||
return sensitiveTree.matchAllWords(JSONUtil.toJsonStr(bean));
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
@ -175,9 +242,26 @@ public final class SensitiveUtil {
|
||||
* @param isDensityMatch 是否使用密集匹配原则
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 敏感词
|
||||
* @deprecated 请使用 {@link #getFoundAllSensitive(Object, boolean, boolean)}
|
||||
*/
|
||||
public static List<FoundWord> getFindedAllSensitive(Object bean, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return getFindedAllSensitive(JSONUtil.toJsonStr(bean), isDensityMatch, isGreedMatch);
|
||||
@Deprecated
|
||||
public static List<String> getFindedAllSensitive(Object bean, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return sensitiveTree.matchAll(JSONUtil.toJsonStr(bean), -1, isDensityMatch, isGreedMatch);
|
||||
}
|
||||
|
||||
/**
|
||||
* 查找敏感词,返回找到的所有敏感词<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
* 贪婪匹配(最长匹配)原则:假如关键字a,ab,最长匹配将匹配[a, ab]
|
||||
*
|
||||
* @param bean 对象,会被转为JSON
|
||||
* @param isDensityMatch 是否使用密集匹配原则
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 敏感词
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public static List<FoundWord> getFoundAllSensitive(Object bean, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
return getFoundAllSensitive(JSONUtil.toJsonStr(bean), isDensityMatch, isGreedMatch);
|
||||
}
|
||||
|
||||
/**
|
||||
@ -191,23 +275,27 @@ public final class SensitiveUtil {
|
||||
*/
|
||||
public static <T> T sensitiveFilter(T bean, boolean isGreedMatch, SensitiveProcessor sensitiveProcessor) {
|
||||
String jsonText = JSONUtil.toJsonStr(bean);
|
||||
Class<T> c = (Class) bean.getClass();
|
||||
@SuppressWarnings("unchecked")
|
||||
final Class<T> c = (Class<T>) bean.getClass();
|
||||
return JSONUtil.toBean(sensitiveFilter(jsonText, isGreedMatch, sensitiveProcessor), c);
|
||||
}
|
||||
|
||||
/**
|
||||
* 处理过滤文本中的敏感词,默认替换成*
|
||||
*
|
||||
* @param text 文本
|
||||
* @param isGreedMatch 贪婪匹配(最长匹配)原则:假如关键字a,ab,最长匹配将匹配[a, ab]
|
||||
* @param sensitiveProcessor 敏感词处理器,默认按匹配内容的字符数替换成*
|
||||
* @return 敏感词过滤处理后的文本
|
||||
*/
|
||||
public static String sensitiveFilter(String text, boolean isGreedMatch, SensitiveProcessor sensitiveProcessor) {
|
||||
if (null == text || text.trim().equals("")) {
|
||||
if (StrUtil.isEmpty(text)) {
|
||||
return text;
|
||||
}
|
||||
|
||||
//敏感词过滤场景下,不需要密集匹配
|
||||
List<FoundWord> foundWordList = getFindedAllSensitive(text, false, isGreedMatch);
|
||||
if (CollectionUtil.isEmpty(foundWordList)) {
|
||||
List<FoundWord> foundWordList = getFoundAllSensitive(text, false, isGreedMatch);
|
||||
if (CollUtil.isEmpty(foundWordList)) {
|
||||
return text;
|
||||
}
|
||||
sensitiveProcessor = sensitiveProcessor == null ? new SensitiveProcessor() {
|
||||
|
@ -1,11 +1,17 @@
|
||||
package cn.hutool.dfa;
|
||||
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import cn.hutool.core.collection.CollectionUtil;
|
||||
import cn.hutool.core.lang.Filter;
|
||||
import cn.hutool.core.text.StrBuilder;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
|
||||
import java.util.*;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Collection;
|
||||
import java.util.HashMap;
|
||||
import java.util.HashSet;
|
||||
import java.util.List;
|
||||
import java.util.Set;
|
||||
|
||||
/**
|
||||
* DFA(Deterministic Finite Automaton 确定有穷自动机)
|
||||
@ -26,7 +32,7 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
private static final long serialVersionUID = -4646423269465809276L;
|
||||
|
||||
/**
|
||||
* 敏感词字符末尾标识,用于标识单词末尾字符
|
||||
* 单词字符末尾标识,用于标识单词末尾字符
|
||||
*/
|
||||
private final Set<Character> endCharacterSet = new HashSet<>();
|
||||
/**
|
||||
@ -62,26 +68,30 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
* 增加一组单词
|
||||
*
|
||||
* @param words 单词集合
|
||||
* @return this
|
||||
*/
|
||||
public void addWords(Collection<String> words) {
|
||||
public WordTree addWords(Collection<String> words) {
|
||||
if (false == (words instanceof Set)) {
|
||||
words = new HashSet<>(words);
|
||||
}
|
||||
for (String word : words) {
|
||||
addWord(word);
|
||||
}
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
* 增加一组单词
|
||||
*
|
||||
* @param words 单词数组
|
||||
* @return this
|
||||
*/
|
||||
public void addWords(String... words) {
|
||||
public WordTree addWords(String... words) {
|
||||
HashSet<String> wordsSet = CollectionUtil.newHashSet(words);
|
||||
for (String word : wordsSet) {
|
||||
addWord(word);
|
||||
}
|
||||
return this;
|
||||
}
|
||||
|
||||
/**
|
||||
@ -89,7 +99,7 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
*
|
||||
* @param word 单词
|
||||
*/
|
||||
public void addWord(String word) {
|
||||
public WordTree addWord(String word) {
|
||||
final Filter<Character> charFilter = this.charFilter;
|
||||
WordTree parent = null;
|
||||
WordTree current = this;
|
||||
@ -112,8 +122,8 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
if (null != parent) {
|
||||
parent.setEnd(currentChar);
|
||||
}
|
||||
return this;
|
||||
}
|
||||
|
||||
//------------------------------------------------------------------------------- match
|
||||
|
||||
/**
|
||||
@ -126,7 +136,7 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
if (null == text) {
|
||||
return false;
|
||||
}
|
||||
return null != match(text);
|
||||
return null != matchWord(text);
|
||||
}
|
||||
|
||||
/**
|
||||
@ -135,15 +145,24 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
* @param text 被检查的文本
|
||||
* @return 匹配到的关键字
|
||||
*/
|
||||
public FoundWord match(String text) {
|
||||
public String match(String text) {
|
||||
final FoundWord foundWord = matchWord(text);
|
||||
return null != foundWord ? foundWord.toString() : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获得第一个匹配的关键字
|
||||
*
|
||||
* @param text 被检查的文本
|
||||
* @return 匹配到的关键字
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public FoundWord matchWord(String text) {
|
||||
if (null == text) {
|
||||
return null;
|
||||
}
|
||||
List<FoundWord> matchAll = matchAll(text, 1);
|
||||
if (CollectionUtil.isNotEmpty(matchAll)) {
|
||||
return matchAll.get(0);
|
||||
}
|
||||
return null;
|
||||
final List<FoundWord> matchAll = matchAllWords(text, 1);
|
||||
return CollUtil.get(matchAll, 0);
|
||||
}
|
||||
|
||||
//------------------------------------------------------------------------------- match all
|
||||
@ -154,10 +173,21 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
* @param text 被检查的文本
|
||||
* @return 匹配的词列表
|
||||
*/
|
||||
public List<FoundWord> matchAll(String text) {
|
||||
public List<String> matchAll(String text) {
|
||||
return matchAll(text, -1);
|
||||
}
|
||||
|
||||
/**
|
||||
* 找出所有匹配的关键字
|
||||
*
|
||||
* @param text 被检查的文本
|
||||
* @return 匹配的词列表
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public List<FoundWord> matchAllWords(String text) {
|
||||
return matchAllWords(text, -1);
|
||||
}
|
||||
|
||||
/**
|
||||
* 找出所有匹配的关键字
|
||||
*
|
||||
@ -165,10 +195,22 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
* @param limit 限制匹配个数
|
||||
* @return 匹配的词列表
|
||||
*/
|
||||
public List<FoundWord> matchAll(String text, int limit) {
|
||||
public List<String> matchAll(String text, int limit) {
|
||||
return matchAll(text, limit, false, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* 找出所有匹配的关键字
|
||||
*
|
||||
* @param text 被检查的文本
|
||||
* @param limit 限制匹配个数
|
||||
* @return 匹配的词列表
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public List<FoundWord> matchAllWords(String text, int limit) {
|
||||
return matchAllWords(text, limit, false, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* 找出所有匹配的关键字<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
@ -180,7 +222,24 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 匹配的词列表
|
||||
*/
|
||||
public List<FoundWord> matchAll(String text, int limit, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
public List<String> matchAll(String text, int limit, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
final List<FoundWord> matchAllWords = matchAllWords(text, limit, isDensityMatch, isGreedMatch);
|
||||
return CollUtil.map(matchAllWords, FoundWord::toString, true);
|
||||
}
|
||||
|
||||
/**
|
||||
* 找出所有匹配的关键字<br>
|
||||
* 密集匹配原则:假如关键词有 ab,b,文本是abab,将匹配 [ab,b,ab]<br>
|
||||
* 贪婪匹配(最长匹配)原则:假如关键字a,ab,最长匹配将匹配[a, ab]
|
||||
*
|
||||
* @param text 被检查的文本
|
||||
* @param limit 限制匹配个数
|
||||
* @param isDensityMatch 是否使用密集匹配原则
|
||||
* @param isGreedMatch 是否使用贪婪匹配(最长匹配)原则
|
||||
* @return 匹配的词列表
|
||||
* @since 5.5.3
|
||||
*/
|
||||
public List<FoundWord> matchAllWords(String text, int limit, boolean isDensityMatch, boolean isGreedMatch) {
|
||||
if (null == text) {
|
||||
return null;
|
||||
}
|
||||
@ -239,8 +298,6 @@ public class WordTree extends HashMap<Character, WordTree> {
|
||||
}
|
||||
return foundWords;
|
||||
}
|
||||
|
||||
|
||||
//--------------------------------------------------------------------------------------- Private method start
|
||||
|
||||
/**
|
||||
|
@ -1,13 +1,10 @@
|
||||
package cn.hutool.dfa.test;
|
||||
package cn.hutool.dfa;
|
||||
|
||||
import cn.hutool.core.collection.CollectionUtil;
|
||||
import cn.hutool.dfa.FoundWord;
|
||||
import cn.hutool.dfa.WordTree;
|
||||
import cn.hutool.core.collection.CollUtil;
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* DFA单元测试
|
||||
@ -29,8 +26,8 @@ public class DfaTest {
|
||||
// 情况一:标准匹配,匹配到最短关键词,并跳过已经匹配的关键词
|
||||
// 匹配到【大】,就不再继续匹配了,因此【大土豆】不匹配
|
||||
// 匹配到【刚出锅】,就跳过这三个字了,因此【出锅】不匹配(由于刚首先被匹配,因此长的被匹配,最短匹配只针对第一个字相同选最短)
|
||||
List<FoundWord> matchAll = tree.matchAll(text, -1, false, false);
|
||||
Assert.assertEquals(matchAll.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()), CollectionUtil.newArrayList("大", "土^豆", "刚出锅"));
|
||||
List<String> matchAll = tree.matchAll(text, -1, false, false);
|
||||
Assert.assertEquals(matchAll, CollUtil.newArrayList("大", "土^豆", "刚出锅"));
|
||||
}
|
||||
|
||||
/**
|
||||
@ -45,8 +42,8 @@ public class DfaTest {
|
||||
// 情况二:匹配到最短关键词,不跳过已经匹配的关键词
|
||||
// 【大】被匹配,最短匹配原则【大土豆】被跳过,【土豆继续被匹配】
|
||||
// 【刚出锅】被匹配,由于不跳过已经匹配的词,【出锅】被匹配
|
||||
List<FoundWord> matchAll = tree.matchAll(text, -1, true, false);
|
||||
Assert.assertEquals(matchAll.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()), CollectionUtil.newArrayList("大", "土^豆", "刚出锅", "出锅"));
|
||||
List<String> matchAll = tree.matchAll(text, -1, true, false);
|
||||
Assert.assertEquals(matchAll, CollUtil.newArrayList("大", "土^豆", "刚出锅", "出锅"));
|
||||
}
|
||||
|
||||
/**
|
||||
@ -61,8 +58,8 @@ public class DfaTest {
|
||||
// 情况三:匹配到最长关键词,跳过已经匹配的关键词
|
||||
// 匹配到【大】,由于到最长匹配,因此【大土豆】接着被匹配
|
||||
// 由于【大土豆】被匹配,【土豆】被跳过,由于【刚出锅】被匹配,【出锅】被跳过
|
||||
List<FoundWord> matchAll = tree.matchAll(text, -1, false, true);
|
||||
Assert.assertEquals(matchAll.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()), CollectionUtil.newArrayList("大", "大土^豆", "刚出锅"));
|
||||
List<String> matchAll = tree.matchAll(text, -1, false, true);
|
||||
Assert.assertEquals(matchAll, CollUtil.newArrayList("大", "大土^豆", "刚出锅"));
|
||||
|
||||
}
|
||||
|
||||
@ -78,8 +75,8 @@ public class DfaTest {
|
||||
// 情况四:匹配到最长关键词,不跳过已经匹配的关键词(最全关键词)
|
||||
// 匹配到【大】,由于到最长匹配,因此【大土豆】接着被匹配,由于不跳过已经匹配的关键词,土豆继续被匹配
|
||||
// 【刚出锅】被匹配,由于不跳过已经匹配的词,【出锅】被匹配
|
||||
List<FoundWord> matchAll = tree.matchAll(text, -1, true, true);
|
||||
Assert.assertEquals(matchAll.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()), CollectionUtil.newArrayList("大", "大土^豆", "土^豆", "刚出锅", "出锅"));
|
||||
List<String> matchAll = tree.matchAll(text, -1, true, true);
|
||||
Assert.assertEquals(matchAll, CollUtil.newArrayList("大", "大土^豆", "土^豆", "刚出锅", "出锅"));
|
||||
|
||||
}
|
||||
|
||||
@ -91,21 +88,20 @@ public class DfaTest {
|
||||
WordTree tree = new WordTree();
|
||||
tree.addWord("tio");
|
||||
|
||||
List<FoundWord> all = tree.matchAll("AAAAAAAt-ioBBBBBBB");
|
||||
Assert.assertEquals(all.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()), CollectionUtil.newArrayList("t-io"));
|
||||
List<String> all = tree.matchAll("AAAAAAAt-ioBBBBBBB");
|
||||
Assert.assertEquals(all, CollUtil.newArrayList("t-io"));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void aTest() {
|
||||
public void aTest(){
|
||||
WordTree tree = new WordTree();
|
||||
tree.addWord("women");
|
||||
String text = "a WOMEN todo.".toLowerCase();
|
||||
List<FoundWord> matchAll = tree.matchAll(text, -1, false, false);
|
||||
Assert.assertEquals("[women]", matchAll.stream().map(fw -> fw.getFoundWord()).collect(Collectors.toList()).toString());
|
||||
List<String> matchAll = tree.matchAll(text, -1, false, false);
|
||||
Assert.assertEquals("[women]", matchAll.toString());
|
||||
}
|
||||
|
||||
// ----------------------------------------------------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* 构建查找树
|
||||
*
|
||||
@ -121,4 +117,4 @@ public class DfaTest {
|
||||
tree.addWord("出锅");
|
||||
return tree;
|
||||
}
|
||||
}
|
||||
}
|
@ -1,6 +1,5 @@
|
||||
package cn.hutool.dfa.test;
|
||||
package cn.hutool.dfa;
|
||||
|
||||
import cn.hutool.dfa.SensitiveUtil;
|
||||
import org.junit.Assert;
|
||||
import org.junit.Test;
|
||||
|
@ -694,12 +694,12 @@ public final class JSONUtil {
|
||||
* 在需要的时候包装对象<br>
|
||||
* 包装包括:
|
||||
* <ul>
|
||||
* <li><code>null</code> =》 <code>JSONNull.NULL</code></li>
|
||||
* <li>{@code null} =》 {@code JSONNull.NULL}</li>
|
||||
* <li>array or collection =》 JSONArray</li>
|
||||
* <li>map =》 JSONObject</li>
|
||||
* <li>standard property (Double, String, et al) =》 原对象</li>
|
||||
* <li>来自于java包 =》 字符串</li>
|
||||
* <li>其它 =》 尝试包装为JSONObject,否则返回<code>null</code></li>
|
||||
* <li>其它 =》 尝试包装为JSONObject,否则返回{@code null}</li>
|
||||
* </ul>
|
||||
*
|
||||
* @param object 被包装的对象
|
||||
|
Loading…
x
Reference in New Issue
Block a user