/*
 * 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.search;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.FilterLeafReader;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.LeafReader;
import org.apache.lucene.index.LeafReaderContext;
import org.apache.lucene.index.NumericDocValues;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.similarities.ClassicSimilarity;
import org.apache.lucene.store.Directory;
import org.apache.lucene.tests.analysis.MockAnalyzer;
import org.apache.lucene.tests.index.RandomIndexWriter;
import org.apache.lucene.tests.search.CheckHits;
import org.apache.lucene.tests.util.LuceneTestCase;
import org.apache.lucene.tests.util.TestUtil;
import org.apache.lucene.util.Bits;

public class TestTermScorer extends LuceneTestCase {
  protected Directory directory;
  private static final String FIELD = "field";

  protected String[] values = new String[] {"all", "dogs dogs", "like", "playing", "fetch", "all"};
  protected IndexSearcher indexSearcher;
  protected LeafReader indexReader;

  @Override
  public void setUp() throws Exception {
    super.setUp();
    directory = newDirectory();

    RandomIndexWriter writer =
        new RandomIndexWriter(
            random(),
            directory,
            newIndexWriterConfig(new MockAnalyzer(random()))
                .setMergePolicy(newLogMergePolicy())
                .setSimilarity(new ClassicSimilarity()));
    for (int i = 0; i < values.length; i++) {
      Document doc = new Document();
      doc.add(newTextField(FIELD, values[i], Field.Store.YES));
      writer.addDocument(doc);
    }
    writer.forceMerge(1);
    indexReader = getOnlyLeafReader(writer.getReader());
    writer.close();
    indexSearcher = newSearcher(indexReader, false);
    indexSearcher.setSimilarity(new ClassicSimilarity());
  }

  @Override
  public void tearDown() throws Exception {
    indexReader.close();
    directory.close();
    super.tearDown();
  }

  public void test() throws IOException {

    Term allTerm = new Term(FIELD, "all");
    TermQuery termQuery = new TermQuery(allTerm);

    Weight weight = indexSearcher.createWeight(termQuery, ScoreMode.COMPLETE, 1);
    assertTrue(indexSearcher.getTopReaderContext() instanceof LeafReaderContext);
    LeafReaderContext context = (LeafReaderContext) indexSearcher.getTopReaderContext();
    BulkScorer ts = weight.bulkScorer(context);
    // we have 2 documents with the term all in them, one document for all the
    // other values
    final List<TestHit> docs = new ArrayList<>();
    // must call next first

    ts.score(
        new SimpleCollector() {
          private int base = 0;
          private Scorable scorer;

          @Override
          public void setScorer(Scorable scorer) {
            this.scorer = scorer;
          }

          @Override
          public void collect(int doc) throws IOException {
            float score = scorer.score();
            doc = doc + base;
            docs.add(new TestHit(doc, score));
            assertTrue("score " + score + " is not greater than 0", score > 0);
            assertTrue(
                "Doc: " + doc + " does not equal 0 or doc does not equal 5", doc == 0 || doc == 5);
          }

          @Override
          protected void doSetNextReader(LeafReaderContext context) throws IOException {
            base = context.docBase;
          }

          @Override
          public ScoreMode scoreMode() {
            return ScoreMode.COMPLETE;
          }
        },
        null,
        0,
        DocIdSetIterator.NO_MORE_DOCS);
    assertTrue("docs Size: " + docs.size() + " is not: " + 2, docs.size() == 2);
    TestHit doc0 = docs.get(0);
    TestHit doc5 = docs.get(1);
    // The scores should be the same
    assertTrue(doc0.score + " does not equal: " + doc5.score, doc0.score == doc5.score);
  }

  public void testNext() throws Exception {

    Term allTerm = new Term(FIELD, "all");
    TermQuery termQuery = new TermQuery(allTerm);

    Weight weight = indexSearcher.createWeight(termQuery, ScoreMode.COMPLETE, 1);
    assertTrue(indexSearcher.getTopReaderContext() instanceof LeafReaderContext);
    LeafReaderContext context = (LeafReaderContext) indexSearcher.getTopReaderContext();
    Scorer ts = weight.scorer(context);
    assertTrue(
        "next did not return a doc", ts.iterator().nextDoc() != DocIdSetIterator.NO_MORE_DOCS);
    assertTrue(
        "next did not return a doc", ts.iterator().nextDoc() != DocIdSetIterator.NO_MORE_DOCS);
    assertTrue(
        "next returned a doc and it should not have",
        ts.iterator().nextDoc() == DocIdSetIterator.NO_MORE_DOCS);
  }

  public void testAdvance() throws Exception {

    Term allTerm = new Term(FIELD, "all");
    TermQuery termQuery = new TermQuery(allTerm);

    Weight weight = indexSearcher.createWeight(termQuery, ScoreMode.COMPLETE, 1);
    assertTrue(indexSearcher.getTopReaderContext() instanceof LeafReaderContext);
    LeafReaderContext context = (LeafReaderContext) indexSearcher.getTopReaderContext();
    Scorer ts = weight.scorer(context);
    assertTrue("Didn't skip", ts.iterator().advance(3) != DocIdSetIterator.NO_MORE_DOCS);
    // The next doc should be doc 5
    assertTrue("doc should be number 5", ts.docID() == 5);
  }

  private static class TestHit {
    public int doc;
    public float score;

    public TestHit(int doc, float score) {
      this.doc = doc;
      this.score = score;
    }

    @Override
    public String toString() {
      return "TestHit{" + "doc=" + doc + ", score=" + score + "}";
    }
  }

  public void testDoesNotLoadNorms() throws IOException {
    Term allTerm = new Term(FIELD, "all");
    TermQuery termQuery = new TermQuery(allTerm);

    LeafReader forbiddenNorms =
        new FilterLeafReader(indexReader) {
          @Override
          public NumericDocValues getNormValues(String field) throws IOException {
            fail("Norms should not be loaded");
            // unreachable
            return null;
          }

          @Override
          public CacheHelper getCoreCacheHelper() {
            return in.getCoreCacheHelper();
          }

          @Override
          public CacheHelper getReaderCacheHelper() {
            return in.getReaderCacheHelper();
          }
        };
    // We don't use newSearcher because it sometimes runs checkIndex which loads norms
    IndexSearcher indexSearcher = new IndexSearcher(forbiddenNorms);

    Weight weight = indexSearcher.createWeight(termQuery, ScoreMode.COMPLETE, 1);
    expectThrows(
        AssertionError.class,
        () -> {
          weight.scorer(forbiddenNorms.getContext()).iterator().nextDoc();
        });

    Weight weight2 = indexSearcher.createWeight(termQuery, ScoreMode.COMPLETE_NO_SCORES, 1);
    // should not fail this time since norms are not necessary
    weight2.scorer(forbiddenNorms.getContext()).iterator().nextDoc();
  }

  public void testRandomTopDocs() throws IOException {
    Directory dir = newDirectory();
    IndexWriter w = new IndexWriter(dir, newIndexWriterConfig());
    int numDocs =
        TEST_NIGHTLY
            ? atLeast(128 * 8 * 8 * 3)
            : atLeast(500); // at night, make sure some terms have skip data
    for (int i = 0; i < numDocs; ++i) {
      Document doc = new Document();
      int numValues = random().nextInt(1 << random().nextInt(5));
      int start = random().nextInt(10);
      for (int j = 0; j < numValues; ++j) {
        int freq = TestUtil.nextInt(random(), 1, 1 << random().nextInt(3));
        for (int k = 0; k < freq; ++k) {
          doc.add(new TextField("foo", Integer.toString(start + j), Store.NO));
        }
      }
      w.addDocument(doc);
    }
    IndexReader reader = DirectoryReader.open(w);
    w.close();
    IndexSearcher searcher = newSearcher(reader);

    for (int iter = 0; iter < 15; ++iter) {
      Query query = new TermQuery(new Term("foo", Integer.toString(iter)));

      TopScoreDocCollectorManager completeManager =
          new TopScoreDocCollectorManager(10, Integer.MAX_VALUE); // COMPLETE
      TopScoreDocCollectorManager topScoresManager =
          new TopScoreDocCollectorManager(10, 1); // TOP_SCORES

      TopDocs complete = searcher.search(query, completeManager);
      TopDocs topScores = searcher.search(query, topScoresManager);
      CheckHits.checkEqual(query, complete.scoreDocs, topScores.scoreDocs);

      int filterTerm = random().nextInt(15);
      Query filteredQuery =
          new BooleanQuery.Builder()
              .add(query, Occur.MUST)
              .add(new TermQuery(new Term("foo", Integer.toString(filterTerm))), Occur.FILTER)
              .build();

      completeManager = new TopScoreDocCollectorManager(10, Integer.MAX_VALUE); // COMPLETE
      topScoresManager = new TopScoreDocCollectorManager(10, 1); // TOP_SCORES
      complete = searcher.search(filteredQuery, completeManager);
      topScores = searcher.search(filteredQuery, topScoresManager);
      CheckHits.checkEqual(query, complete.scoreDocs, topScores.scoreDocs);
    }
    reader.close();
    dir.close();
  }

  public void testNextDocsAndScores() throws IOException {
    Term allTerm = new Term(FIELD, "all");
    TermQuery termQuery = new TermQuery(allTerm);
    Weight weight = indexSearcher.createWeight(termQuery, ScoreMode.TOP_SCORES, 1f);
    LeafReaderContext context = indexSearcher.getIndexReader().leaves().get(0);
    Bits liveDocs = context.reader().getLiveDocs();
    Scorer scorer1 = weight.scorer(context);
    Scorer scorer2 = weight.scorer(context);
    scorer1.iterator().nextDoc();
    scorer2.iterator().nextDoc();
    DocAndFloatFeatureBuffer buffer = new DocAndFloatFeatureBuffer();
    while (true) {
      int curDoc = scorer2.iterator().docID();
      int upTo =
          TestUtil.nextInt(random(), curDoc, (int) Math.min(Integer.MAX_VALUE, curDoc + 512L));
      scorer1.nextDocsAndScores(upTo, liveDocs, buffer);
      assertEquals(buffer.size == 0, curDoc >= upTo);

      for (int i = 0; i < buffer.size; ++i) {
        while (liveDocs != null && liveDocs.get(scorer2.iterator().docID()) == false) {
          scorer2.iterator().nextDoc();
        }
        assertEquals(scorer2.iterator().docID(), buffer.docs[i]);
        assertEquals(scorer2.score(), buffer.features[i], 0f);
        scorer2.iterator().nextDoc();
      }

      assertEquals(scorer2.iterator().docID(), scorer1.iterator().docID());
      if (scorer1.iterator().docID() == DocIdSetIterator.NO_MORE_DOCS) {
        break;
      }
    }

    Scorer scorer3 = weight.scorer(context);
    scorer3.iterator().nextDoc();
    scorer3.nextDocsAndScores(
        DocIdSetIterator.NO_MORE_DOCS, new Bits.MatchNoBits(context.reader().maxDoc()), buffer);
    assertEquals(0, buffer.size);
  }
}
