package com.qxueyou.scc.Sensitive;
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import java.util.HashSet;
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import java.util.Iterator;
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import java.util.Map;
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import java.util.Set;
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//敏感词过滤器：利用DFA算法 进行敏感词过滤
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@SuppressWarnings("rawtypes")
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public class SensitiveFilterService {
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private Map sensitiveWordMap = null;
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// 最小匹配规则
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public static int minMatchTYpe = 1;
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// 最大匹配规则
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public static int maxMatchType = 2;
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// 单例
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private static SensitiveFilterService instance = null;
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// 构造函数，初始化敏感词库
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private SensitiveFilterService() {
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sensitiveWordMap = new SensitiveWordInit().initKeyWord();
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}
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// 获取单例
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public static SensitiveFilterService getInstance() {
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if (null == instance) {
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instance = new SensitiveFilterService();
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}
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return instance;
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}
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// 获取文字中的敏感词
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public Set<String> getSensitiveWord(String txt, int matchType) {
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Set<String> sensitiveWordList = new HashSet<String>();
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for (int i = 0; i < txt.length(); i++) {
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// 判断是否包含敏感字符
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int length = CheckSensitiveWord(txt, i, matchType);
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// 存在,加入list中
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if (length > 0) {
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sensitiveWordList.add(txt.substring(i, i + length));
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// 减1的原因，是因为for会自增
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i = i + length - 1;
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}
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}
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return sensitiveWordList;
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}
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// 替换敏感字字符
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public String replaceSensitiveWord(String txt, int matchType,
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String replaceChar) {
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String resultTxt = txt;
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// 获取所有的敏感词
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Set<String> set = getSensitiveWord(txt, matchType);
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Iterator<String> iterator = set.iterator();
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String word = null;
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String replaceString = null;
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while (iterator.hasNext()) {
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word = iterator.next();
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replaceString = getReplaceChars(replaceChar, word.length());
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resultTxt = resultTxt.replaceAll(word, replaceString);
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}
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return resultTxt;
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}
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/**
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* 返回 字符串含有的拦截词 逗号隔开
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*
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* @param txt
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* @return
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*/
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public String returnSensitiveWord(String txt) {
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String resultTxt = txt;
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StringBuilder sensitiveWord = new StringBuilder("");
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// 获取所有的敏感词
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Set<String> set = getSensitiveWord(txt, 1);
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Iterator<String> iterator = set.iterator();
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String word = null;
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String replaceString = null;
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while (iterator.hasNext()) {
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String str = resultTxt;
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word = iterator.next();
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replaceString = getReplaceChars("*", word.length());
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resultTxt = resultTxt.replaceAll(word, replaceString);
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if (!resultTxt.equals(str)){
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sensitiveWord.append(word);
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sensitiveWord.append(",");
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}
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}
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return sensitiveWord.toString();
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}
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/**
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* 获取替换字符串
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*
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* @param replaceChar
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* @param length
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* @return
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*/
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private String getReplaceChars(String replaceChar, int length) {
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String resultReplace = replaceChar;
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for (int i = 1; i < length; i++) {
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resultReplace += replaceChar;
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}
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return resultReplace;
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}
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/**
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* 判断文本中包含敏感词个数
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* @param
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*/
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public static boolean checkContainCount(String txt) {
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SensitiveFilterService filter = SensitiveFilterService.getInstance();
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Set<java.lang.String> hou = filter.getSensitiveWord(txt, 1);
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return hou.size() > 0;
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}
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/**
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* 检查文字中是否包含敏感字符，检查规则如下：<br>
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* 如果存在，则返回敏感词字符的长度，不存在返回0
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*
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* @param txt
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* @param beginIndex
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* @param matchType
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* @return
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*/
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public int CheckSensitiveWord(String txt, int beginIndex, int matchType) {
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// 敏感词结束标识位：用于敏感词只有1位的情况
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boolean flag = false;
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// 匹配标识数默认为0
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int matchFlag = 0;
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Map nowMap = sensitiveWordMap;
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for (int i = beginIndex; i < txt.length(); i++) {
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char word = txt.charAt(i);
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// 获取指定key
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nowMap = (Map) nowMap.get(word);
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// 存在，则判断是否为最后一个
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if (nowMap != null) {
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// 找到相应key，匹配标识+1
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matchFlag++;
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// 如果为最后一个匹配规则,结束循环，返回匹配标识数
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if ("1".equals(nowMap.get("isEnd"))) {
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// 结束标志位为true
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flag = true;
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// 最小规则，直接返回,最大规则还需继续查找
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if (SensitiveFilterService.minMatchTYpe == matchType) {
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break;
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}
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}
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}
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// 不存在，直接返回
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else {
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break;
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}
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}
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if (matchFlag < 2 && !flag) { // 长度必须大于等于1，为词
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matchFlag = 0;
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}
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return matchFlag;
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}
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}
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