/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 * 
 *   http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package opennlp.tools.disambiguator;

import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.HashMap;

import net.sf.extjwnl.JWNLException;
import net.sf.extjwnl.data.POS;
import net.sf.extjwnl.dictionary.Dictionary;
import net.sf.extjwnl.dictionary.MorphologicalProcessor;
import opennlp.tools.cmdline.postag.POSModelLoader;
import opennlp.tools.disambiguator.datareader.SensevalReader;
import opennlp.tools.lemmatizer.SimpleLemmatizer;
import opennlp.tools.namefind.NameFinderME;
import opennlp.tools.namefind.TokenNameFinderModel;
import opennlp.tools.postag.POSModel;
import opennlp.tools.postag.POSTaggerME;
import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;
import opennlp.tools.tokenize.Tokenizer;
import opennlp.tools.tokenize.TokenizerME;
import opennlp.tools.tokenize.TokenizerModel;
import opennlp.tools.util.InvalidFormatException;

public class Loader {

  private static SensevalReader dExtractor = new SensevalReader();

  private static String modelsDir = "src\\test\\resources\\models\\";

  private static SentenceDetectorME sdetector;
  private static Tokenizer tokenizer;
  private static POSTaggerME tagger;
  private static NameFinderME nameFinder;
  private static SimpleLemmatizer lemmatizer;

  private static Dictionary dictionary;
  private static MorphologicalProcessor morph;

  // local caches for faster lookup
  private static HashMap<String, Object> stemCache;
  private static HashMap<String, Object> stopCache;
  private static HashMap<String, Object> relvCache;

  private static HashMap<String, Object> englishWords;

  public Loader() {
    super();
    load();
  }

  public static HashMap<String, Object> getRelvCache() {
    if (relvCache == null || relvCache.keySet().isEmpty()) {
      relvCache = new HashMap<String, Object>();
      for (String t : Constants.relevantPOS) {
        relvCache.put(t, null);
      }
    }
    return relvCache;
  }

  public static HashMap<String, Object> getStopCache() {
    if (stopCache == null || stopCache.keySet().isEmpty()) {
      stopCache = new HashMap<String, Object>();
      for (String s : Constants.stopWords) {
        stopCache.put(s, null);
      }
    }
    return stopCache;
  }

  public static HashMap<String, Object> getStemCache() {
    if (stemCache == null || stemCache.keySet().isEmpty()) {
      stemCache = new HashMap<String, Object>();
      for (Object pos : POS.getAllPOS()) {
        stemCache.put(((POS) pos).getKey(), new HashMap());
      }
    }
    return stemCache;
  }

  public static HashMap<String, Object> getEnglishWords() {
    if (englishWords == null || englishWords.keySet().isEmpty()) {
      englishWords = Constants
          .getEnglishWords(modelsDir + "en-lemmatizer.dict");
    }
    return englishWords;
  }

  public static MorphologicalProcessor getMorph() {
    if (morph == null) {
      morph = dictionary.getMorphologicalProcessor();
    }
    return morph;
  }

  public static Dictionary getDictionary() {
    if (dictionary == null) {
      try {
        dictionary = Dictionary.getDefaultResourceInstance();
      } catch (JWNLException e) {
        e.printStackTrace();
      }
    }
    return dictionary;
  }

  public static SimpleLemmatizer getLemmatizer() {
    if (lemmatizer == null) {
      try {
        lemmatizer = new SimpleLemmatizer(new FileInputStream(modelsDir
            + "en-lemmatizer.dict"));
      } catch (IOException e) {
        e.printStackTrace();
      }
    }

    return lemmatizer;
  }

  public static NameFinderME getNameFinder() {
    if (nameFinder == null) {
      TokenNameFinderModel nameFinderModel;
      try {
        nameFinderModel = new TokenNameFinderModel(new FileInputStream(
            modelsDir + "en-ner-person.bin"));
        nameFinder = new NameFinderME(nameFinderModel);
      } catch (IOException e) {
        e.printStackTrace();
      }
    }
    return nameFinder;
  }

  public static POSTaggerME getTagger() {
    if (tagger == null) {
      POSModel posTaggerModel = new POSModelLoader().load(new File(modelsDir
          + "en-pos-maxent.bin"));
      tagger = new POSTaggerME(posTaggerModel);
    }
    return tagger;
  }

  public static SentenceDetectorME getSDetector() {
    if (sdetector == null) {
      try {
        SentenceModel enSentModel = new SentenceModel(new FileInputStream(
            modelsDir + "en-sent.bin"));
        sdetector = new SentenceDetectorME(enSentModel);
      } catch (IOException e) {
        e.printStackTrace();
      }
    }
    return sdetector;
  }

  public static Tokenizer getTokenizer() {
    if (tokenizer == null) {
      try {
        TokenizerModel tokenizerModel = new TokenizerModel(new FileInputStream(
            modelsDir + "en-token.bin"));
        tokenizer = new TokenizerME(tokenizerModel);
      } catch (IOException e) {
        e.printStackTrace();
      }

    }
    return tokenizer;
  }

  public static boolean isInitialized() {
    return (dictionary != null && morph != null && stemCache != null
        && stopCache != null && relvCache != null);
  }

  public void load() {
    try {
      SentenceModel enSentModel = new SentenceModel(new FileInputStream(
          modelsDir + "en-sent.bin"));
      sdetector = new SentenceDetectorME(enSentModel);

      TokenizerModel TokenizerModel = new TokenizerModel(new FileInputStream(
          modelsDir + "en-token.bin"));
      tokenizer = new TokenizerME(TokenizerModel);

      POSModel posTaggerModel = new POSModelLoader().load(new File(modelsDir
          + "en-pos-maxent.bin"));
      tagger = new POSTaggerME(posTaggerModel);

      TokenNameFinderModel nameFinderModel = new TokenNameFinderModel(
          new FileInputStream(modelsDir + "en-ner-person.bin"));
      nameFinder = new NameFinderME(nameFinderModel);

      lemmatizer = new SimpleLemmatizer(new FileInputStream(modelsDir
          + "en-lemmatizer.dict"));

      dictionary = Dictionary.getDefaultResourceInstance();
      morph = dictionary.getMorphologicalProcessor();

      // loading lookup caches
      stemCache = new HashMap();
      for (Object pos : POS.getAllPOS()) {
        stemCache.put(((POS) pos).getKey(), new HashMap());
      }

      stopCache = new HashMap<String, Object>();
      for (String s : Constants.stopWords) {
        stopCache.put(s, null);
      }

      relvCache = new HashMap<String, Object>();
      for (String t : Constants.relevantPOS) {
        relvCache.put(t, null);
      }

      englishWords = new HashMap<String, Object>();

      if (isInitialized()) {
        Constants.print("loading was succesfull");
      } else {
        Constants.print("loading was unsuccesfull");
      }

    } catch (FileNotFoundException e) {
      e.printStackTrace();
    } catch (InvalidFormatException e) {
      e.printStackTrace();
    } catch (IOException e) {
      e.printStackTrace();
    } catch (JWNLException e) {
      e.printStackTrace();
    }
  }

  public static void unload() {
    dictionary.close();
  }

}