public class SimpleFilter {
    private static final Set<String> sensitiveWords = new HashSet<>(Arrays.asList("敏感詞1", "敏感詞2"));
    
    public static String filter(String text) {
        for (String word : sensitiveWords) {
            if (text.contains(word)) {
                text = text.replace(word, "***");
            }
        }
        return text;
    }
}

public class RegexFilter {
    private static final String pattern = "敏感詞1|敏感詞2|敏感詞3";
    
    public static String filter(String text) {
        return text.replaceAll(pattern, "***");
    }
}

class TrieNode {
    private Map<Character, TrieNode> children = new HashMap<>();
    private boolean isEnd;
    
    // 添加子節(jié)點(diǎn)方法
    // 查找子節(jié)點(diǎn)方法
    // getter/setter
}

public class TrieFilter {
    private TrieNode root = new TrieNode();
    
    // 構(gòu)建Trie樹(shù)
    public void addWord(String word) {
        TrieNode node = root;
        for (char c : word.toCharArray()) {
            node = node.getChildren().computeIfAbsent(c, k -> new TrieNode());
        }
        node.setEnd(true);
    }
    
    // 過(guò)濾方法
    public String filter(String text) {
        StringBuilder result = new StringBuilder();
        TrieNode temp;
        for (int i = 0; i < text.length(); i++) {
            temp = root;
            int j = i;
            while (j < text.length() && temp.getChildren().containsKey(text.charAt(j))) {
                temp = temp.getChildren().get(text.charAt(j));
                j++;
                if (temp.isEnd()) {
                    // 發(fā)現(xiàn)敏感詞，替換為*
                    result.append("*".repeat(j - i));
                    i = j - 1;
                    break;
                }
            }
            if (i >= text.length()) break;
            if (!temp.isEnd()) {
                result.append(text.charAt(i));
            }
        }
        return result.toString();
    }
}

public class DFAFilter {
    private Map<String, Object> sensitiveWordMap = new HashMap<>();
    
    // 構(gòu)建敏感詞庫(kù)
    public void init(Set<String> words) {
        for (String word : words) {
            Map<String, Object> nowMap = sensitiveWordMap;
            for (int i = 0; i < word.length(); i++) {
                String key = String.valueOf(word.charAt(i));
                Object tempMap = nowMap.get(key);
                if (tempMap == null) {
                    Map<String, Object> newMap = new HashMap<>();
                    newMap.put("isEnd", "0");
                    nowMap.put(key, newMap);
                    nowMap = newMap;
                } else {
                    nowMap = (Map<String, Object>) tempMap;
                }
                if (i == word.length() - 1) {
                    nowMap.put("isEnd", "1");
                }
            }
        }
    }
    
    // 過(guò)濾方法
    public String filter(String text) {
        StringBuilder result = new StringBuilder();
        for (int i = 0; i < text.length(); i++) {
            int length = checkWord(text, i);
            if (length > 0) {
                result.append("*".repeat(length));
                i += length - 1;
            } else {
                result.append(text.charAt(i));
            }
        }
        return result.toString();
    }
    
    private int checkWord(String text, int beginIndex) {
        boolean flag = false;
        int matchLength = 0;
        Map<String, Object> tempMap = sensitiveWordMap;
        for (int i = beginIndex; i < text.length(); i++) {
            String word = String.valueOf(text.charAt(i));
            tempMap = (Map<String, Object>) tempMap.get(word);
            if (tempMap == null) break;
            matchLength++;
            if ("1".equals(tempMap.get("isEnd"))) {
                flag = true;
                break;
            }
        }
        return flag ? matchLength : 0;
    }
}

public class ACFilter {
    private ACTrie trie;
    
    public void init(Set<String> words) {
        trie = new ACTrie();
        for (String word : words) {
            trie.insert(word);
        }
        trie.buildFailureLinks();
    }
    
    public String filter(String text) {
        Set<ACTrie.Match> matches = trie.parseText(text);
        char[] chars = text.toCharArray();
        for (ACTrie.Match match : matches) {
            Arrays.fill(chars, match.getStart(), match.getEnd() + 1, '*');
        }
        return new String(chars);
    }
}

public class BloomFilterPreprocessor {
    private BloomFilter<String> bloomFilter;
    private Set<String> exactMatchSet;
    
    public void init(Set<String> words) {
        bloomFilter = BloomFilter.create(Funnels.stringFunnel(), words.size(), 0.01);
        exactMatchSet = new HashSet<>(words);
        words.forEach(bloomFilter::put);
    }
    
    public boolean mightContain(String text) {
        return bloomFilter.mightContain(text);
    }
    
    public boolean exactMatch(String text) {
        return exactMatchSet.contains(text);
    }
}

public class DynamicWordFilter {
    private volatile Map<String, Object> wordMap;
    private ScheduledExecutorService executor;
    
    public void init() {
        loadWords();
        executor = Executors.newSingleThreadScheduledExecutor();
        executor.scheduleAtFixedRate(this::loadWords, 1, 1, TimeUnit.HOURS);
    }
    
    private void loadWords() {
        Map<String, Object> newMap = new HashMap<>();
        // 從數(shù)據(jù)庫(kù)或文件加載敏感詞
        Set<String> words = loadFromDB();
        // 構(gòu)建DFA結(jié)構(gòu)
        this.wordMap = buildDFA(words);
    }
}

public class DistributedFilter {
    private RedisTemplate<String, String> redisTemplate;
    
    public boolean isSensitive(String text) {
        // 使用Redis的Set結(jié)構(gòu)存儲(chǔ)敏感詞
        return redisTemplate.opsForSet().isMember("sensitive:words", text);
    }
    
    public String filter(String text) {
        // 調(diào)用分布式過(guò)濾服務(wù)
        return restTemplate.postForObject("http://filter-service/filter", text, String.class);
    }
}

GET /content_index/_search
{
  "query": {
    "bool": {
      "must_not": [
        { "terms": { "content": ["敏感詞1", "違禁詞"] }}
      ]
    }
  }
}

GET /content_index/_search
{
  "query": {
    "match": { "content": "正常文本" }
  },
  "highlight": {
    "fields": {
      "content": {
        "highlight_query": {
          "terms": { "content": ["敏感詞1", "違禁詞"] }
        }
      }
    }
  }
}

public class ProductionWordFilter implements InitializingBean {
    private final TrieNode root = new TrieNode();
    private final List<String> wordSources;
    private final ScheduledExecutorService executor;
    
    public ProductionWordFilter(List<String> wordSources) {
        this.wordSources = wordSources;
        this.executor = Executors.newSingleThreadScheduledExecutor();
    }
    
    @Override
    public void afterPropertiesSet() {
        reload();
        executor.scheduleWithFixedDelay(this::reload, 1, 1, TimeUnit.HOURS);
    }
    
    public synchronized void reload() {
        TrieNode newRoot = new TrieNode();
        wordSources.stream()
                  .flatMap(source -> loadWords(source).stream())
                  .forEach(word -> addWord(newRoot, word));
        this.root = newRoot;
    }
    
    public FilterResult filter(String text) {
        StringBuilder result = new StringBuilder();
        Set<String> foundWords = new HashSet<>();
        int replacedCount = 0;
        
        for (int i = 0; i < text.length(); ) {
            MatchResult match = findNextMatch(text, i);
            if (match != null) {
                foundWords.add(match.getWord());
                result.append("*".repeat(match.getLength()));
                replacedCount++;
                i = match.getEndIndex();
            } else {
                result.append(text.charAt(i));
                i++;
            }
        }
        
        return new FilterResult(result.toString(), foundWords, replacedCount);
    }
    
    // 其他輔助方法...
}