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fix：避免调用方 显示调用API 触发查找树 优化；并通过内置锁，避免因并行树优化 可能造成的不可预知结果 和 无效重复的 树优化操作
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renyp
parent
6cd998f648
commit
00e9af4ffb
@ -4,141 +4,177 @@ import java.util.*;
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/**
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* <p>
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*
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* 基于非确定性有穷自动机（NFA） 实现的多模匹配工具
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* </p>
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*
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* @author renyp
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*/
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public class Automaton {
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private final Node root;
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/**
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* AC树的根节点
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*/
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private final Node root;
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/**
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* 标记是否需要构建AC自动机，做树优化
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*/
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private volatile boolean needBuildAC;
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/**
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* 默认构造
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*/
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public Automaton() {
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this.root = new Node();
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}
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/**
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* 内置锁，防止并发场景，并行建AC树，造成不可预知结果
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*/
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private final Object lock;
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/**
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* 构造函数 并 初始化词库
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*
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* @param words 添加的新词
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*/
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public Automaton(String... words) {
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this();
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this.insert(words);
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}
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/**
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* 默认构造
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*/
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public Automaton() {
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this.root = new Node();
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this.needBuildAC = true;
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this.lock = new Object();
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}
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/**
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* 词库添加新词，初始化查找树
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*
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* @param word 添加的新词
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*/
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public void insert(String word) {
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Node p = root;
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for (char curr : word.toCharArray()) {
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int ind = curr;
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if (p.next.get(ind) == null) {
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p.next.put(ind, new Node());
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}
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p = p.next.get(ind);
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}
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p.flag = true;
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p.str = word;
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}
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/**
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* 构造函数 并 初始化词库
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*
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* @param words 添加的新词
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*/
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public Automaton(String... words) {
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this();
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this.insert(words);
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}
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/**
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* 词库批量添加新词，初始化查找树
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*
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* @param words 添加的新词
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*/
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public void insert(String... words) {
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for (String word : words) {
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this.insert(word);
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}
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}
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/**
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* 词库添加新词，初始化查找树
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*
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* @param word 添加的新词
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*/
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public void insert(String word) {
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needBuildAC = true;
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Node p = root;
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for (char curr : word.toCharArray()) {
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int ind = curr;
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if (p.next.get(ind) == null) {
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p.next.put(ind, new Node());
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}
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p = p.next.get(ind);
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}
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p.flag = true;
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p.str = word;
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}
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/**
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* 构建基于NFA模型的 AC自动机
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*/
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public void buildAc() {
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Queue<Node> queue = new LinkedList<>();
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Node p = root;
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for (Integer key : p.next.keySet()) {
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p.next.get(key).fail = root;
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queue.offer(p.next.get(key));
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}
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while (!queue.isEmpty()) {
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Node curr = queue.poll();
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for (Integer key : curr.next.keySet()) {
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Node fail = curr.fail;
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// 查找当前节点匹配失败，他对应等效匹配的节点是哪个
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while (fail != null && fail.next.get(key) == null) {
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fail = fail.fail;
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}
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// 代码到这，有两种可能，fail不为null，说明找到了fail；fail为null，没有找到，那么就把fail指向root节点（当到该节点匹配失败，那么从root节点开始重新匹配）
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if (fail != null) {
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fail = fail.next.get(key);
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} else {
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fail = root;
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}
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curr.next.get(key).fail = fail;
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queue.offer(curr.next.get(key));
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}
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}
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}
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/**
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* 词库批量添加新词，初始化查找树
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*
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* @param words 添加的新词
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*/
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public void insert(String... words) {
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for (String word : words) {
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this.insert(word);
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}
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}
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/**
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* @param text 查询的文本（母串）
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*/
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public List<FoundWord> find(String text) {
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return this.find(text, true);
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}
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/**
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* 构建基于NFA模型的 AC自动机
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*/
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private void buildAc() {
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Queue<Node> queue = new LinkedList<>();
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Node p = root;
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for (Integer key : p.next.keySet()) {
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p.next.get(key).fail = root;
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queue.offer(p.next.get(key));
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}
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while (!queue.isEmpty()) {
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Node curr = queue.poll();
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for (Integer key : curr.next.keySet()) {
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Node fail = curr.fail;
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// 查找当前节点匹配失败，他对应等效匹配的节点是哪个
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while (fail != null && fail.next.get(key) == null) {
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fail = fail.fail;
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}
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// 代码到这，有两种可能，fail不为null，说明找到了fail；fail为null，没有找到，那么就把fail指向root节点（当到该节点匹配失败，那么从root节点开始重新匹配）
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if (fail != null) {
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fail = fail.next.get(key);
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} else {
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fail = root;
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}
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curr.next.get(key).fail = fail;
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queue.offer(curr.next.get(key));
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}
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}
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needBuildAC = false;
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}
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/**
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* @param text 查找的文本（母串）
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* @param isDensityMatch 是否密集匹配
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*/
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public List<FoundWord> find(String text, boolean isDensityMatch) {
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List<FoundWord> ans = new ArrayList<>();
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Node p = root, k = null;
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for (int i = 0, len = text.length(); i < len; i++) {
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int ind = text.charAt(i);
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// 状态转移(沿着fail指针链接的链表，此处区别于DFA模型)
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while (p != null && p.next.get(ind) == null) {
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p = p.fail;
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}
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if (p == null) {
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p = root;
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} else {
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p = p.next.get(ind);
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}
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// 提取结果(沿着fail指针链接的链表，此处区别于DFA模型)
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k = p;
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while (k != null) {
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if (k.flag) {
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ans.add(new FoundWord(k.str, k.str, i - k.str.length() + 1, i));
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if (!isDensityMatch) {
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p = root;
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break;
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}
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}
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k = k.fail;
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}
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}
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return ans;
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}
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/**
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* @param text 查询的文本（母串）
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*/
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public List<FoundWord> find(String text) {
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return this.find(text, true);
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}
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private static class Node {
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/**
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* @param text 查找的文本（母串）
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* @param isDensityMatch 是否密集匹配
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*/
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public List<FoundWord> find(String text, boolean isDensityMatch) {
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// double check，防止重复无用的 buildAC
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if (needBuildAC) {
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synchronized (lock) {
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if (needBuildAC) {
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this.buildAc();
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}
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}
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}
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List<FoundWord> ans = new ArrayList<>();
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Node p = root, k = null;
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for (int i = 0, len = text.length(); i < len; i++) {
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int ind = text.charAt(i);
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// 状态转移(沿着fail指针链接的链表，此处区别于DFA模型)
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while (p != null && p.next.get(ind) == null) {
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p = p.fail;
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}
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if (p == null) {
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p = root;
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} else {
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p = p.next.get(ind);
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}
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// 提取结果(沿着fail指针链接的链表，此处区别于DFA模型)
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k = p;
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while (k != null) {
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if (k.flag) {
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ans.add(new FoundWord(k.str, k.str, i - k.str.length() + 1, i));
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if (!isDensityMatch) {
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p = root;
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break;
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}
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}
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k = k.fail;
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}
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}
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return ans;
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}
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boolean flag;
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Node fail;
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String str;
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Map<Integer, Node> next;
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private static class Node {
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public Node() {
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this.flag = false;
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next = new HashMap<>();
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}
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}
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/**
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* 当前节点是否是一个单词的结尾
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*/
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boolean flag;
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/**
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* 指向 当前节点匹配失败应该跳转的下个节点
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*/
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Node fail;
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/**
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* 以当前节点结尾的单词
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*/
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String str;
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/**
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* 当前节点的子节点
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*/
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Map<Integer, Node> next;
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public Node() {
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this.flag = false;
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next = new HashMap<>();
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}
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}
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}
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@ -17,7 +17,7 @@ public class AutomatonTest extends TestCase {
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Automaton automaton = new Automaton();
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WordTree wordTree = new WordTree();
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automaton.insert("say", "her", "he", "she", "shr");
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automaton.buildAc();
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// automaton.buildAc();
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wordTree.addWords("say", "her", "he", "she", "shr");
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StopWatch stopWatch = new StopWatch();
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@ -51,7 +51,7 @@ public class AutomatonTest extends TestCase {
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Automaton automaton = new Automaton();
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WordTree wordTree = new WordTree();
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automaton.insert("say", "her", "he", "she", "shr");
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automaton.buildAc();
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// automaton.buildAc();
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wordTree.addWords("say", "her", "he", "she", "shr");
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StopWatch stopWatch = new StopWatch();
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@ -84,7 +84,7 @@ public class AutomatonTest extends TestCase {
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stopWatch.start("automaton_char_buid_find");
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Automaton automatonLocal = new Automaton();
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automatonLocal.insert("say", "her", "he", "she", "shr");
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automatonLocal.buildAc();
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// automatonLocal.buildAc();
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List<FoundWord> ans1 = automatonLocal.find(input);
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stopWatch.stop();
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assertEquals("she,he,her,say", ans1.stream().map(FoundWord::getWord).collect(Collectors.joining(",")));
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@ -118,7 +118,7 @@ public class AutomatonTest extends TestCase {
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stopWatch.start("automaton_cn_build_find");
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Automaton automatonLocal = new Automaton();
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automatonLocal.insert("赵", "赵啊", "赵啊三");
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automatonLocal.buildAc();
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// automatonLocal.buildAc();
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final List<FoundWord> result = automatonLocal.find(input);
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stopWatch.stop();
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@ -156,7 +156,7 @@ public class AutomatonTest extends TestCase {
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Automaton automatonLocal = new Automaton();
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automatonLocal.insert("赵", "赵啊", "赵啊三");
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automatonLocal.buildAc();
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// automatonLocal.buildAc();
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stopWatch.start("automaton_cn_find");
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final List<FoundWord> result = automatonLocal.find(input);
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@ -196,7 +196,7 @@ public class AutomatonTest extends TestCase {
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Automaton automatonLocal = new Automaton();
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automatonLocal.insert("赵", "赵啊", "赵啊三");
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automatonLocal.buildAc();
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// automatonLocal.buildAc();
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stopWatch.start("automaton_cn_find_not_density");
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final List<FoundWord> result = automatonLocal.find(input, false);
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