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最主要最主要的文本在此：

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工具类代码：就是解析文本进行过滤处理

package com.sense.framework.util;import cn.hutool.core.collection.CollUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.springframework.core.io.DefaultResourceLoader;
import org.springframework.core.io.Resource;import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;/*** 敏感词汇过滤替换为** 说明：部分代码来源于互联网*/
@Slf4j
public class WordFilterUtil {private final static String WORDS = "WORDS";private final static String REPLACE_CHAR = "*";private static HashMap sensitiveWordMap;/*** 最小匹配规则*/private static int minMatchTYpe = 1;/*** 最大匹配规则*/private static int maxMatchType = 2;/*** 敏感词汇过滤替换为*     *** @param text 待检测文字* @return 替换后文字*/public static String replaceWords(String text) {if (StringUtils.isBlank(text)) {return text;}//缓存获取敏感词汇原记录List<String> words = get(WORDS);if (CollUtil.isEmpty(words)) {//读取敏感词汇文件，存入缓存words = readWordsFile();put(WORDS, words);}if (CollUtil.isEmpty(words)) {return text;}//屏蔽敏感词汇return WordFilterUtil.replaceSensitiveWord(words, text, WordFilterUtil.minMatchTYpe);}/*** 读取敏感词汇文件*/private static List<String> readWordsFile() {List<String> list = new ArrayList<>();InputStream inputStream = null;InputStreamReader inputStreamReader = null;BufferedReader bufferedReader = null;try {Resource resource = new DefaultResourceLoader().getResource("classpath:words.txt");inputStream = resource.getInputStream();inputStreamReader = new InputStreamReader(inputStream, StandardCharsets.UTF_8);bufferedReader = new BufferedReader(inputStreamReader);String txt = "";while (StringUtils.isNotBlank(txt = bufferedReader.readLine())) {list.addAll(Arrays.asList(StringUtils.split(StringUtils.deleteWhitespace(StringUtils.replace(txt, "，", ",")),",")));}bufferedReader.close();inputStreamReader.close();inputStream.close();} catch (Exception e) {log.error("读取敏感词汇文件出错", e);} finally {try {if (bufferedReader != null) {bufferedReader.close();}if (inputStreamReader != null) {inputStreamReader.close();}if (inputStream != null) {inputStream.close();}} catch (Exception e) {log.error("读取敏感词汇文件出错", e);}}return list;}/*** 替换敏感字字符** @param data      敏感字集合* @param txt       待检查文本* @param matchType 匹配规则*/private static String replaceSensitiveWord(List<String> data, String txt, int matchType) {if (sensitiveWordMap == null) {addSensitiveWord(data);}String resultTxt = txt;//获取所有的敏感词List<String> set = getSensitiveWord(txt, matchType);Iterator<String> iterator = set.iterator();while (iterator.hasNext()) {resultTxt = resultTxt.replaceAll(iterator.next(), REPLACE_CHAR);}return resultTxt;}/*** 读取敏感词库，将敏感词放入HashSet中，构建一个DFA算法模型：* 说明：该方法来源于互联网*/private static void addSensitiveWord(List<String> datas) {sensitiveWordMap = new HashMap(datas.size());Iterator<String> iterator = datas.iterator();Map<String, Object> now = null;Map now2 = null;while (iterator.hasNext()) {now2 = sensitiveWordMap;String word = iterator.next().trim(); //敏感词for (int i = 0; i < word.length(); i++) {char key_word = word.charAt(i);Object obj = now2.get(key_word);if (obj != null) { //存在now2 = (Map) obj;} else { //不存在now = new HashMap<String, Object>();now.put("isEnd", "0");now2.put(key_word, now);now2 = now;}if (i == word.length() - 1) {now2.put("isEnd", "1");}}}}/*** 获取内容中的敏感词* 说明：该方法来源于互联网** @param text      内容* @param matchType 匹配规则 1=不最佳匹配，2=最佳匹配* @return*/private static List<String> getSensitiveWord(String text, int matchType) {List<String> words = new ArrayList<String>();Map now = sensitiveWordMap;int count = 0; //初始化敏感词长度int start = 0; //标志敏感词开始的下标for (int i = 0; i < text.length(); i++) {char key = text.charAt(i);now = (Map) now.get(key);if (now != null) { //存在count++;if (count == 1) {start = i;}if ("1".equals(now.get("isEnd"))) { //敏感词结束now = sensitiveWordMap; //重新获取敏感词库words.add(text.substring(start, start + count)); //取出敏感词，添加到集合count = 0; //初始化敏感词长度}} else { //不存在now = sensitiveWordMap;//重新获取敏感词库if (count == 1 && matchType == 1) { //不最佳匹配count = 0;} else if (count == 1 && matchType == 2) { //最佳匹配words.add(text.substring(start, start + count));count = 0;}}}return words;}public WordFilterUtil() {super();}/*** 键值对集合*/private final static ConcurrentHashMap<String, List<String>> MAP = new ConcurrentHashMap<>();/*** 添加缓存*/public synchronized static void put(String key, List<String> data) {//清除原键值对remove(key);//不设置过期时间MAP.put(key, data);}/*** 读取缓存*/public static List<String> get(String key) {return MAP.get(key);}/*** 清除缓存*/public synchronized static void remove(String key) {MAP.remove(key);}public static void main(String[] args) {String text = "你好垃圾";String words = replaceWords(text);System.out.println("words = " + words);}
}