/*
 * 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.util.ArrayList;
import java.util.List;

import opennlp.tools.disambiguator.datareader.SensevalReader;
import opennlp.tools.disambiguator.ims.IMS;
import opennlp.tools.disambiguator.ims.IMSParameters;
import opennlp.tools.disambiguator.ims.WTDIMS;

import org.junit.Test;

public class IMSEvaluatorTest {

  static SensevalReader seReader = new SensevalReader();

  @Test
  public static void main(String[] args) {
    Constants.print("Evaluation Started");

    IMS ims = new IMS();
    IMSParameters imsParams = new IMSParameters();
    ims.setParams(imsParams);

    ArrayList<String> words = seReader.getSensevalWords();

    for (String word : words) {
      WSDEvaluator evaluator = new WSDEvaluator(ims);

      // don't take verbs because they are not from WordNet
      if (!word.split("\\.")[1].equals("v")) {

        ArrayList<WSDSample> instances = getTestData(word);
        if (instances != null) {
          Constants.print("------------------" + word + "------------------");
          for (WSDSample instance : instances) {
            if (instance.getSenseIDs() != null
                && !instance.getSenseIDs().get(0).equals("null")) {
              evaluator.evaluateSample(instance);
            }
          }
          Constants.print(evaluator.toString());
        } else {
          Constants.print("null instances");
        }
      }

    }

  }

  /**
   * For a specific word, return the Semeval3 corresponding instances in form of
   * {@link WSDIMS}
   * 
   * @param wordTag
   *          the word of which the instances are to be collected. wordTag has
   *          to be in the format "word.POS" (e.g., "activate.v", "smart.a",
   *          etc.)
   * @return list of {@link WSDIMS} instances of the wordTag
   */
  @Deprecated
  protected static ArrayList<WTDIMS> getTestDataOld(String wordTag) {

    ArrayList<WTDIMS> instances = new ArrayList<WTDIMS>();
    for (WordToDisambiguate wtd : seReader.getSensevalData(wordTag)) {
      WTDIMS wtdims = new WTDIMS(wtd);
      instances.add(wtdims);
    }

    return instances;
  }
  
  protected static ArrayList<WSDSample> getTestData(String wordTag) {

    ArrayList<WSDSample> instances = new ArrayList<WSDSample>();
    for (WordToDisambiguate wtd : seReader.getSensevalData(wordTag)) {
      List<WordPOS> words = PreProcessor.getAllRelevantWords(wtd);
      int targetWordIndex=0;
      for (int i=0; i<words.size();i++){
        if(words.get(i).isTarget){
          targetWordIndex = i;
        }   
      }
      String[] tags = new String[words.size()];
      String[] tokens = new String[words.size()];
      for (int i=0;i<words.size();i++){
        tags[i] = words.get(i).getPosTag();
        tokens[i] = words.get(i).getWord();
      }
      String targetLemma = Loader.getLemmatizer().lemmatize(
          tokens[targetWordIndex], tags[targetWordIndex]);
      
      WSDSample sample = new WSDSample(tokens,tags,targetWordIndex,targetLemma);
      sample.setSenseIDs(wtd.getSenseIDs());
      if (sample != null) {
        if (sample.getSenseIDs().get(0) != null
            && !sample.getSenseIDs().get(0).equalsIgnoreCase("U")) {
          instances.add(sample);
        }
      }
    }
    return instances;
  }

}