code: /* LanguageTool, a natural language style checker
   * Copyright (C) 2011 Daniel Naber (http://www.danielnaber.de)
   *
   * This library is free software; you can redistribute it and/or
   * modify it under the terms of the GNU Lesser General Public
   * License as published by the Free Software Foundation; either
   * version 2.1 of the License, or (at your option) any later version.
   *
   * This library is distributed in the hope that it will be useful,
   * but WITHOUT ANY WARRANTY; without even the implied warranty of
   * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
   * Lesser General Public License for more details.
   *
   * You should have received a copy of the GNU Lesser General Public
   * License along with this library; if not, write to the Free Software
   * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301
   * USA
   */
  package org.languagetool.openoffice.stylestatistic;
  
  import java.io.IOException;
  import java.util.ArrayList;
  import java.util.HashSet;
  import java.util.List;
  import java.util.Map;
  import java.util.Set;
  
  import org.languagetool.AnalyzedSentence;
  import org.languagetool.openoffice.MessageHandler;
  import org.languagetool.rules.AbstractStyleTooOftenUsedWordRule;
  import org.languagetool.rules.TextLevelRule;
  
  /**
   * Adapter between LT Rules (instance of AbstractStyleTooOftenUsedWordRule) and Analyzes Dialog
   * @since 6.2
   * @author Fred Kruse
   */
  public class UsedWordRule {
    
    private final static int MAX_LIST_LENGTH = 50;
  
    private boolean debugMode = false;
    
    private final TextLevelRule rule;
    private boolean withDirectSpeech;
  //  private Map<String, Integer> wordMap;
    private List<String> excludedWords = new ArrayList<>();
    private List<WordFrequency> mostUsed = new ArrayList<>();
    
    public UsedWordRule(TextLevelRule rule, StatAnCache cache) {
      this.rule = rule;
      withDirectSpeech = true;
    }
    
    public void generateBasicNumbers(StatAnCache cache) {
      try {
        if (debugMode) {
          MessageHandler.printToLogFile("withDirectSpeech: " + withDirectSpeech);
        }
        List<AnalyzedSentence> sentences = new ArrayList<>();
        for (int i = 0; i < cache.size(); i++) {
          sentences.addAll(cache.getAnalysedParagraph(i));
        }
        //  TODO: Generate a result cache for later evaluations
        rule.match(sentences, null);
        if (rule instanceof AbstractStyleTooOftenUsedWordRule) {
          Map<String, Integer> wordMap = ((AbstractStyleTooOftenUsedWordRule) rule).getWordMap();
          if (debugMode) {
            MessageHandler.printToLogFile("Number of words: " + wordMap.size());
          }
          mostUsed = getMostUsed(wordMap);
        }
      } catch (IOException e) {
        MessageHandler.showError(e);
      }
    }
  
    public void setWithDirectSpeach(boolean wDirectSpeech, StatAnCache cache) {
      if (debugMode) {
        MessageHandler.printToLogFile("withDirectSpeech: " + withDirectSpeech + ", wDirectSpeech: " + wDirectSpeech);
      }
      if (withDirectSpeech != wDirectSpeech) {
        withDirectSpeech = wDirectSpeech;
        ((AbstractStyleTooOftenUsedWordRule) rule).setWithoutDirectSpeech(!withDirectSpeech);
        if (debugMode) {
          MessageHandler.printToLogFile("Generate basic numbers");
        }
        generateBasicNumbers(cache);
      }
    }
    
    public void setListExcludedWords(List<String> words) {
      excludedWords.clear();
      if (words != null) {
        excludedWords.addAll(words);
      }
    }
    
    public boolean getDefaultDirectSpeach() {
      return true;
    }
  
    public static boolean isUsedWordRule(TextLevelRule rule) {
      if (rule instanceof AbstractStyleTooOftenUsedWordRule) {
        return true;
      }
      return false;
    }
  
    private List<WordFrequency> getMostUsed(Map<String, Integer> wordMap) {
      List<WordFrequency> wordList = new ArrayList<>();
      int nWords = 0;
      for (String word : wordMap.keySet()) {
        nWords += wordMap.get(word);
      }
      if (debugMode) {
        MessageHandler.printToLogFile("Number of words: " + nWords);
      }
      if (nWords < 1) {
        return wordList;
      }
      Set<String> words = new HashSet<>(wordMap.keySet());
      int limit = MAX_LIST_LENGTH <= words.size() ? MAX_LIST_LENGTH : words.size();
      for (int i = 0; i < limit; i++) {
        String mostUsed = null;
        int num = 0;
        for (String word : words) {
          int wordNum = wordMap.get(word);
          if (wordNum > num) {
            mostUsed = word;
            num = wordNum;
          }
        }
        double percent = ((double) num) * 100. / ((double) nWords);
        wordList.add(new WordFrequency(mostUsed, percent));
        words.remove(mostUsed);
      }
      return wordList;
    }
    
    public String[] getMostUsedWords() throws Throwable {
      String[] words = new String[mostUsed.size()];
      for (int i = 0; i < mostUsed.size(); i++) {
        words[i] = String.format("%s (%.1f%%)", mostUsed.get(i).word, mostUsed.get(i).percent);
      }
      return words;
    }
  
    public String getMostUsedWord(int n) throws Throwable {
      return mostUsed.get(n).word;
    }
    
    public class WordFrequency {
      public String word;
      public double percent;
      
      WordFrequency(String word, double percent) {
        this.word = word;
        this.percent = percent;
      }
    }
  
  }
  