java敏感词过滤
配置文件：
package com.wjg.mgcth.config;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.ClassPathResource;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
/**
* @Description
* @Auther WangJinguo
* @Date 2022/4/17 10:32
* @Version 1.0
**/
@Configuration
@SuppressWarnings({"rawtypes","unchecked"})
public class SensitiveWordInit {
// 字符编码
private String ENCODING = "UTF-8";
// 初始化敏感字库
public Map initKeyWord() throws IOException {
// 读取敏感词库 ,存入Set中
Set<String> wordSet = readSensitiveWordFile();
// 将敏感词库加入到HashMap中//确定有穷自动机DFA
return addSensitiveWordToHashMap(wordSet);
}
// 读取敏感词库 ,存入HashMap中
private Set<String> readSensitiveWordFile() throws IOException {
Set<String> wordSet = null;
//敏感词的文件放在resources/static 文件夹下
ClassPathResource classPathResource = new ClassPathResource("static/词库名称.txt");
InputStream inputStream = classPathResource.getInputStream();
//敏感词库
try {
// 读取文件输入流
InputStreamReader read = new InputStreamReader(inputStream, ENCODING);
// 文件是否是文件 和 是否存在
wordSet = new HashSet<String>();
// StringBuffer sb = new StringBuffer();
// BufferedReader是包装类，先把字符读到缓存里，到缓存满了，再读入内存，提高了读的效率。
BufferedReader br = new BufferedReader(read);
String txt = null;
// 读取文件，将文件内容放入到set中
while ((txt = br.readLine()) != null) {
wordSet.add(txt);
}
br.close();
// 关闭文件流
read.close();
} catch (Exception e) {
e.printStackTrace();
}
return wordSet;
}
// 将HashSet中的敏感词,存入HashMap中
private Map addSensitiveWordToHashMap(Set<String> wordSet) {
// 初始化敏感词容器，减少扩容操作
Map wordMap = new HashMap(wordSet.size());
for (String word : wordSet) {
Map nowMap = wordMap;
for (int i = 0; i < word.length(); i++) {
// 转换成char型
char keyChar = word.charAt(i);
// 获取
Object tempMap = nowMap.get(keyChar);
// 如果存在该key，直接赋值
if (tempMap != null) {
nowMap = (Map) tempMap;
}
// 不存在则，则构建一个map，同时将isEnd设置为0，因为他不是最后一个
else {
// 设置标志位
Map<String, String> newMap = new HashMap<String, String>();
newMap.put("isEnd", "0");
// 添加到集合
nowMap.put(keyChar, newMap);
nowMap = newMap;
}
// 最后一个
if (i == word.length() - 1) {
nowMap.put("isEnd", "1");
}
}
}
return wordMap;
}
}过滤工具类:
package com.wjg.mgcth.utils;
import com.wjg.mgcth.config.SensitiveWordInit;
import java.io.IOException;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
/**
* @Description
* @Auther WangJinguo
* @Date 2022/4/17 11:02
* @Version 1.0
**/
//敏感词过滤器：利用DFA算法 进行敏感词过滤
public class SensitiveFilter {
//敏感词过滤器：利用DFA算法 进行敏感词过滤
private Map sensitiveWordMap = null;
// 最小匹配规则
public static int minMatchType = 1;
// 最大匹配规则
public static int maxMatchType = 2;
// 单例
private static SensitiveFilter instance = null;
// 构造函数，初始化敏感词库
private SensitiveFilter() throws IOException {
sensitiveWordMap = new SensitiveWordInit().initKeyWord();
}
// 获取单例
public static SensitiveFilter getInstance() throws IOException {
if (null == instance) {
instance = new SensitiveFilter();
}
return instance;
}
// 获取文字中的敏感词
public Set<String> getSensitiveWord(String txt, int matchType) {
Set<String> sensitiveWordList = new HashSet<String>();
for (int i = 0; i < txt.length(); i++) {
// 判断是否包含敏感字符
int length = CheckSensitiveWord(txt, i, matchType);
// 存在,加入list中
if (length > 0) {
sensitiveWordList.add(txt.substring(i, i + length));
// 减1的原因，是因为for会自增
i = i + length - 1;
}
}
return sensitiveWordList;
}
// 替换敏感字字符
public String replaceSensitiveWord(String txt, int matchType,
String replaceChar) {
String resultTxt = txt;
// 获取所有的敏感词
Set<String> set = getSensitiveWord(txt, matchType);
Iterator<String> iterator = set.iterator();
String word = null;
String replaceString = null;
while (iterator.hasNext()) {
word = iterator.next();
replaceString = getReplaceChars(replaceChar, word.length());
resultTxt = resultTxt.replaceAll(word, replaceString);
}
return resultTxt;
}
/**
* 获取替换字符串
*
* @param replaceChar
* @param length
* @return
*/
private String getReplaceChars(String replaceChar, int length) {
String resultReplace = replaceChar;
for (int i = 1; i < length; i++) {
resultReplace += replaceChar;
}
return resultReplace;
}
/**
* 检查文字中是否包含敏感字符，检查规则如下：<br>
* 如果存在，则返回敏感词字符的长度，不存在返回0
* @param txt
* @param beginIndex
* @param matchType
* @return
*/
public int CheckSensitiveWord(String txt, int beginIndex, int matchType) {
// 敏感词结束标识位：用于敏感词只有1位的情况
boolean flag = false;
// 匹配标识数默认为0
int matchFlag = 0;
Map nowMap = sensitiveWordMap;
for (int i = beginIndex; i < txt.length(); i++) {
char word = txt.charAt(i);
// 获取指定key
nowMap = (Map) nowMap.get(word);
// 存在，则判断是否为最后一个
if (nowMap != null) {
// 找到相应key，匹配标识+1
matchFlag++;
// 如果为最后一个匹配规则,结束循环，返回匹配标识数
if ("1".equals(nowMap.get("isEnd"))) {
// 结束标志位为true
flag = true;
// 最小规则，直接返回,最大规则还需继续查找
if (SensitiveFilter.minMatchType == matchType) {
break;
}
}
}
// 不存在，直接返回
else {
break;
}
}
if (SensitiveFilter.maxMatchType == matchType){
if(matchFlag < 2 || !flag){ //长度必须大于等于1，为词
matchFlag = 0;
}
}
if (SensitiveFilter.minMatchType == matchType){
if(matchFlag < 2 && !flag){ //长度必须大于等于1，为词
matchFlag = 0;
}
}
return matchFlag;
}
}测试类：
package com.wjg.mgcth.controller;
import com.wjg.mgcth.utils.SensitiveFilter;
import org.springframework.context.annotation.Configuration;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.io.IOException;
/**
* @Description
* @Auther WangJinguo
* @Date 2022/4/17 10:27
* @Version 1.0
**/
@RestController
public class MgcthController {
@RequestMapping("/cs")
public void cs(){
try {
SensitiveFilter sensitiveFilter = SensitiveFilter.getInstance();
int wshi = sensitiveFilter.CheckSensitiveWord("敏感词", 0, 1);
System.out.println("---------"+wshi);
} catch (IOException e) {
e.printStackTrace();
}
}
}项目文件层级：
