/*
 * 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 org.apache.lucene.analysis.pt;


import java.io.IOException;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.CharArraySet;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.KeywordTokenizer;
import org.apache.lucene.analysis.miscellaneous.SetKeywordMarkerFilter;

import static org.apache.lucene.analysis.VocabularyAssert.*;

/**
 * Simple tests for {@link PortugueseMinimalStemFilter}
 */
public class TestPortugueseMinimalStemFilter extends BaseTokenStreamTestCase {
  private Analyzer analyzer;
  
  @Override
  public void setUp() throws Exception {
    super.setUp();
    analyzer = new Analyzer() {
      @Override
      protected TokenStreamComponents createComponents(String fieldName) {
        Tokenizer source = new MockTokenizer(MockTokenizer.SIMPLE, true);
        return new TokenStreamComponents(source, new PortugueseMinimalStemFilter(source));
      }
    };
  }
  
  @Override
  public void tearDown() throws Exception {
    analyzer.close();
    super.tearDown();
  }
  
  /**
   * Test the example from the paper "Assessing the impact of stemming accuracy
   * on information retrieval"
   */
  public void testExamples() throws IOException {
    assertAnalyzesTo(
        analyzer,
    "O debate político, pelo menos o que vem a público, parece, de modo nada "
    + "surpreendente, restrito a temas menores. Mas há, evidentemente, "
    + "grandes questões em jogo nas eleições que se aproximam.",
    new String[] { 
      "o", "debate", "político", "pelo", "menos", "o", "que", "vem", "a", 
      "público", "parece", "de", "modo", "nada", "surpreendente", "restrito",
      "a", "tema", "menor", "mas", "há", "evidentemente", "grande", "questão",
      "em", "jogo", "na", "eleição", "que", "se", "aproximam"
    });
  }
  
  /** Test against a vocabulary from the reference impl */
  public void testVocabulary() throws IOException {
    assertVocabulary(analyzer, getDataPath("ptminimaltestdata.zip"), "ptminimal.txt");
  }
  
  public void testKeyword() throws IOException {
    final CharArraySet exclusionSet = new CharArraySet( asSet("quilométricas"), false);
    Analyzer a = new Analyzer() {
      @Override
      protected TokenStreamComponents createComponents(String fieldName) {
        Tokenizer source = new MockTokenizer(MockTokenizer.WHITESPACE, false);
        TokenStream sink = new SetKeywordMarkerFilter(source, exclusionSet);
        return new TokenStreamComponents(source, new PortugueseMinimalStemFilter(sink));
      }
    };
    checkOneTerm(a, "quilométricas", "quilométricas");
    a.close();
  }
  
  /** blast some random strings through the analyzer */
  public void testRandomStrings() throws Exception {
    checkRandomData(random(), analyzer, 1000*RANDOM_MULTIPLIER);
  }
  
  public void testEmptyTerm() throws IOException {
    Analyzer a = new Analyzer() {
      @Override
      protected TokenStreamComponents createComponents(String fieldName) {
        Tokenizer tokenizer = new KeywordTokenizer();
        return new TokenStreamComponents(tokenizer, new PortugueseMinimalStemFilter(tokenizer));
      }
    };
    checkOneTerm(a, "", "");
    a.close();
  }
}