/*
 * 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.misc;

import java.io.IOException;
import java.util.Collections;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.similarities.ClassicSimilarity;
import org.apache.lucene.search.similarities.PerFieldSimilarityWrapper;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.search.similarities.TFIDFSimilarity;
import org.apache.lucene.store.ByteBuffersDirectory;
import org.apache.lucene.store.Directory;
import org.apache.lucene.tests.util.LuceneTestCase;

/** Test of the SweetSpotSimilarity */
public class TestSweetSpotSimilarity extends LuceneTestCase {

  private static float computeNorm(Similarity sim, String field, int length) throws IOException {
    String value = IntStream.range(0, length).mapToObj(i -> "a").collect(Collectors.joining(" "));
    Directory dir = new ByteBuffersDirectory();
    IndexWriter w = new IndexWriter(dir, newIndexWriterConfig().setSimilarity(sim));
    w.addDocument(Collections.singleton(newTextField(field, value, Store.NO)));
    DirectoryReader reader = DirectoryReader.open(w);
    w.close();
    IndexSearcher searcher = new IndexSearcher(reader);
    searcher.setSimilarity(sim);
    Explanation expl = searcher.explain(new TermQuery(new Term(field, "a")), 0);
    reader.close();
    dir.close();
    Explanation norm = findExplanation(expl, "fieldNorm");
    assertNotNull(norm);
    return norm.getValue().floatValue();
  }

  private static Explanation findExplanation(Explanation expl, String text) {
    if (expl.getDescription().startsWith(text)) {
      return expl;
    } else {
      for (Explanation sub : expl.getDetails()) {
        Explanation match = findExplanation(sub, text);
        if (match != null) {
          return match;
        }
      }
    }
    return null;
  }

  // TODO: rewrite this test to not make thosuands of indexes.
  @Nightly
  public void testSweetSpotComputeNorm() throws IOException {

    final SweetSpotSimilarity ss = new SweetSpotSimilarity();
    ss.setLengthNormFactors(1, 1, 0.5f, true);

    Similarity d = new ClassicSimilarity();
    Similarity s = ss;

    // base case, should degrade
    for (int i = 1; i < 1000; i++) {
      assertEquals(
          "base case: i=" + i, computeNorm(d, "bogus", i), computeNorm(s, "bogus", i), 0.0f);
    }

    // make a sweet spot

    ss.setLengthNormFactors(3, 10, 0.5f, true);

    for (int i = 3; i <= 10; i++) {
      assertEquals("3,10: spot i=" + i, 1.0f, computeNorm(ss, "bogus", i), 0.0f);
    }

    for (int i = 10; i < 1000; i++) {
      final float normD = computeNorm(d, "bogus", i - 9);
      final float normS = computeNorm(s, "bogus", i);
      assertEquals("3,10: 10<x : i=" + i, normD, normS, 0.01f);
    }

    // separate sweet spot for certain fields

    final SweetSpotSimilarity ssBar = new SweetSpotSimilarity();
    ssBar.setLengthNormFactors(8, 13, 0.5f, false);
    final SweetSpotSimilarity ssYak = new SweetSpotSimilarity();
    ssYak.setLengthNormFactors(6, 9, 0.5f, false);
    final SweetSpotSimilarity ssA = new SweetSpotSimilarity();
    ssA.setLengthNormFactors(5, 8, 0.5f, false);
    final SweetSpotSimilarity ssB = new SweetSpotSimilarity();
    ssB.setLengthNormFactors(5, 8, 0.1f, false);

    Similarity sp =
        new PerFieldSimilarityWrapper() {
          @Override
          public Similarity get(String field) {
            if (field.equals("bar")) return ssBar;
            else if (field.equals("yak")) return ssYak;
            else if (field.equals("a")) return ssA;
            else if (field.equals("b")) return ssB;
            else return ss;
          }
        };

    for (int i = 3; i <= 10; i++) {
      assertEquals("f: 3,10: spot i=" + i, 1.0f, computeNorm(sp, "foo", i), 0.0f);
    }

    for (int i = 10; i < 1000; i++) {
      final float normD = computeNorm(d, "foo", i - 9);
      final float normS = computeNorm(sp, "foo", i);
      assertEquals("f: 3,10: 10<x : i=" + i, normD, normS, 0.01f);
    }

    for (int i = 8; i <= 13; i++) {
      assertEquals("f: 8,13: spot i=" + i, 1.0f, computeNorm(sp, "bar", i), 0.01f);
    }

    for (int i = 6; i <= 9; i++) {
      assertEquals("f: 6,9: spot i=" + i, 1.0f, computeNorm(sp, "yak", i), 0.01f);
    }

    for (int i = 13; i < 1000; i++) {
      final float normD = computeNorm(d, "bar", i - 12);
      final float normS = computeNorm(sp, "bar", i);
      assertEquals("f: 8,13: 13<x : i=" + i, normD, normS, 0.01f);
    }

    for (int i = 9; i < 1000; i++) {
      final float normD = computeNorm(d, "yak", i - 8);
      final float normS = computeNorm(sp, "yak", i);
      assertEquals("f: 6,9: 9<x : i=" + i, normD, normS, 0.01f);
    }

    // steepness

    for (int i = 9; i < 1000; i++) {
      final float normSS = computeNorm(sp, "a", i);
      final float normS = computeNorm(sp, "b", i);
      assertTrue("s: i=" + i + " : a=" + normSS + " < b=" + normS, normSS < normS);
    }
  }

  public void testSweetSpotTf() {

    SweetSpotSimilarity ss = new SweetSpotSimilarity();

    TFIDFSimilarity d = new ClassicSimilarity();
    TFIDFSimilarity s = ss;

    // tf equal

    ss.setBaselineTfFactors(0.0f, 0.0f);

    for (int i = 1; i < 1000; i++) {
      assertEquals("tf: i=" + i, d.tf(i), s.tf(i), 0.0f);
    }

    // tf higher

    ss.setBaselineTfFactors(1.0f, 0.0f);

    for (int i = 1; i < 1000; i++) {
      assertTrue("tf: i=" + i + " : d=" + d.tf(i) + " < s=" + s.tf(i), d.tf(i) < s.tf(i));
    }

    // tf flat

    ss.setBaselineTfFactors(1.0f, 6.0f);
    for (int i = 1; i <= 6; i++) {
      assertEquals("tf flat1: i=" + i, 1.0f, s.tf(i), 0.0f);
    }
    ss.setBaselineTfFactors(2.0f, 6.0f);
    for (int i = 1; i <= 6; i++) {
      assertEquals("tf flat2: i=" + i, 2.0f, s.tf(i), 0.0f);
    }
    for (int i = 6; i <= 1000; i++) {
      assertTrue("tf: i=" + i + " : s=" + s.tf(i) + " < d=" + d.tf(i), s.tf(i) < d.tf(i));
    }

    // stupidity
    assertEquals("tf zero", 0.0f, s.tf(0), 0.0f);
  }

  public void testHyperbolicSweetSpot() {

    SweetSpotSimilarity ss =
        new SweetSpotSimilarity() {
          @Override
          public float tf(float freq) {
            return hyperbolicTf(freq);
          }
        };
    ss.setHyperbolicTfFactors(3.3f, 7.7f, Math.E, 5.0f);

    TFIDFSimilarity s = ss;

    for (int i = 1; i <= 1000; i++) {
      assertTrue("MIN tf: i=" + i + " : s=" + s.tf(i), 3.3f <= s.tf(i));
      assertTrue("MAX tf: i=" + i + " : s=" + s.tf(i), s.tf(i) <= 7.7f);
    }
    assertEquals("MID tf", 3.3f + (7.7f - 3.3f) / 2.0f, s.tf(5), 0.00001f);

    // stupidity
    assertEquals("tf zero", 0.0f, s.tf(0), 0.0f);
  }
}
