java基于DFA敏感词工具类

• 一、代码示例
• • 1.引入库

提示：private static final String filePath = “/usr/share/digital/files/dictionary.txt”; 当前地址下为字典文件。

代码如下：

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.*;
import java.util.*;


public class SensitiveWordUtil {

    private static Logger logger = LoggerFactory.getLogger(SensitiveWordUtil.class);
    
    private static final String KEY_IS_END = "isEnd";
    private static final String IS_END = "1";
    private static final String NOT_END = "0";
    //    private static final String filePath = "src/main/resources/dictionary.txt";
    private static final String filePath = "/usr/share/digital/files/dictionary.txt";
//    private static final String filePath = "/usr/share/digital/files/cuoci.txt";
    
    public static final int MIN_MATCH_TYPE = 1;
    public static final int MAX_MaTCH_TYPE = 2;
    
    private static Map sensitiveWordMap;

    static {
        // 初始化操作
        initSensitiveWordMap(getSensitiveWordSet());
    }

    
    private static Set getSensitiveWordSet() {
        InputStream inputStream = null;
        InputStreamReader inputStreamReader = null;
        BufferedReader bufferedReader = null;
        try {
            File file = new File(filePath);
            inputStream = new FileInputStream(file);
            inputStreamReader = new InputStreamReader(inputStream, "UTf-8");
            bufferedReader = new BufferedReader(inputStreamReader);
            Set sensitiveWordSet = new HashSet<>();
            String line;
            while ((line = bufferedReader.readLine()) != null) {
                sensitiveWordSet.add(line);
            }
            logger.info("敏感词的数量：" + sensitiveWordSet.size());
            return sensitiveWordSet;
        }  catch (Exception e) {
            logger.error("获取本地敏感词库出错",e);
        } finally {
            // 关闭资源
            try {
                if (bufferedReader != null) {
                    bufferedReader.close();
                }
                if (inputStreamReader != null) {
                    inputStreamReader.close();
                }
                if (inputStream != null) {
                    inputStream.close();
                }
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
        return null;
    }

    
    private static void initSensitiveWordMap(Set sensitiveWordSet) {
        // 校验
        if (sensitiveWordSet == null || sensitiveWordSet.size() <= 0) {
            return;
        }
        //初始化敏感词容器，减少扩容操作
        sensitiveWordMap = new HashMap(sensitiveWordSet.size());
        String key;
        Map nowMap;
        Map newWorMap;
        //迭代sensitiveWordSet
        Iterator iterator = sensitiveWordSet.iterator();
        while (iterator.hasNext()) {
            //关键字
            key = iterator.next();
            nowMap = sensitiveWordMap;
            for (int i = 0; i < key.length(); i++) {
                //转换成char型
                char keyChar = key.charAt(i);
                //库中获取关键字
                Object wordMap = nowMap.get(keyChar);
                //如果存在该key，直接赋值，用于下一个循环获取
                if (wordMap != null) {
                    nowMap = (Map) wordMap;
                } else {
                    //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
                    newWorMap = new HashMap<>(2);
                    //不是最后一个
                    newWorMap.put(KEY_IS_END, NOT_END);
                    nowMap.put(keyChar, newWorMap);
                    nowMap = newWorMap;
                }

                if (i == key.length() - 1) {
                    //最后一个
                    nowMap.put(KEY_IS_END, IS_END);
                }
            }
        }
    }

    
    private static 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;
        char word;
        Map nowMap = sensitiveWordMap;
        for (int i = beginIndex; i < txt.length(); i++) {
            word = txt.charAt(i);
            //获取指定key
            nowMap = (Map) nowMap.get(word);
            if (nowMap != null) {
                //存在，则判断是否为最后一个
                //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 (MIN_MATCH_TYPE == matchType) {
                        break;
                    }
                }
            } else {//不存在，直接返回
                break;
            }
        }
        if (matchFlag < 2 || !flag) {
            //长度必须大于等于1，为词
            matchFlag = 0;
        }
        return matchFlag;
    }

    
    private static Set getSensitiveWord(String txt, int matchType) {
        Set sensitiveWordSet = new HashSet<>();
        for (int i = 0; i < txt.length(); i++) {
            //判断是否包含敏感字符
            int length = checkSensitiveWord(txt, i, matchType);
            if (length > 0) {
                //存在,加入set中
                sensitiveWordSet.add(txt.substring(i, i + length));
                //减1的原因，是因为for会自增
                i = i + length - 1;
            }
        }
//        logger.info("语句中包含敏感词的个数为：" + sensitiveWordSet.size() + "。包含：" + sensitiveWordSet);
        return sensitiveWordSet;
    }

    
    public static boolean contains(String txt) {
//        logger.info("待检测的字符串为：" + txt);
        Set sensitiveWord = getSensitiveWord(txt, MAX_MaTCH_TYPE);
        if (sensitiveWord != null && sensitiveWord.size() > 0) {
            return true;
        }
        return false;
    }

    
    public static Set containsBySet(String txt) {
//        logger.info("待检测的字符串为：" + txt);
        Set sensitiveWord = getSensitiveWord(txt, MAX_MaTCH_TYPE);
        if (sensitiveWord != null && sensitiveWord.size() > 0) {
            return sensitiveWord;
        }
        return sensitiveWord;
    }

    public static void main(String[] args) {

        String  string= "我叫李太白，我是一个诗人，我生活在唐朝。";

        SensitiveWordUtil.contains(string);

    }

}