package experiments.collective.entdoccentric.LTR;
import java.io.IOException;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.TermContext;
import org.apache.lucene.search.ComplexExplanation;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.Scorer;
import org.apache.lucene.search.Weight;
import org.apache.lucene.search.similarities.Similarity;
import java.util.Set;
import org.apache.lucene.index.AtomicReaderContext;
import org.apache.lucene.index.DocsEnum;
import org.apache.lucene.index.AtomicReader;
import org.apache.lucene.index.IndexReaderContext;
import org.apache.lucene.index.ReaderUtil;
import org.apache.lucene.index.TermState;
import org.apache.lucene.index.TermsEnum;
import org.apache.lucene.search.similarities.Similarity.ExactSimScorer;
import org.apache.lucene.util.Bits;
import org.apache.lucene.util.ToStringUtils;
/**
* A Query that matches documents containing a term. This may be combined with
* other terms with a {@link BooleanQuery}.
*/
public class LearnToRankTermQuery extends Query {
private final Term term;
private final int docFreq;
private final TermContext perReaderTermState;
private Similarity sim;
final class TermWeight extends Weight {
private final Similarity.SimWeight stats;
private final TermContext termStates;
public TermWeight(IndexSearcher searcher, TermContext termStates)
throws IOException {
assert termStates != null : "TermContext must not be null";
this.termStates = termStates;
this.stats = sim.computeWeight(getBoost(),
searcher.collectionStatistics(term.field()),
searcher.termStatistics(term, termStates));
}
@Override
public String toString() {
return "weight(" + LearnToRankTermQuery.this + ")";
}
@Override
public Query getQuery() {
return LearnToRankTermQuery.this;
}
@Override
public float getValueForNormalization() {
return stats.getValueForNormalization();
}
@Override
public void normalize(float queryNorm, float topLevelBoost) {
stats.normalize(1.0f, topLevelBoost);
}
@Override
public Scorer scorer(AtomicReaderContext context,
boolean scoreDocsInOrder, boolean topScorer, Bits acceptDocs)
throws IOException {
assert termStates.topReaderContext == ReaderUtil
.getTopLevelContext(context) : "The top-reader used to create Weight ("
+ termStates.topReaderContext
+ ") is not the same as the current reader's top-reader ("
+ ReaderUtil.getTopLevelContext(context);
final TermsEnum termsEnum = getTermsEnum(context);
if (termsEnum == null) {
return null;
}
DocsEnum docs = termsEnum.docs(acceptDocs, null);
assert docs != null;
return new LearnToRankTermScorer(this, docs, sim.exactSimScorer(
stats, context), termsEnum.docFreq());
}
/**
* Returns a {@link TermsEnum} positioned at this weights Term or null
* if the term does not exist in the given context
*/
private TermsEnum getTermsEnum(AtomicReaderContext context)
throws IOException {
final TermState state = termStates.get(context.ord);
if (state == null) { // term is not present in that reader
assert termNotInReader(context.reader(), term) : "no termstate found but term exists in reader term="
+ term;
return null;
}
// System.out.println("LD=" + reader.getLiveDocs() + " set?=" +
// (reader.getLiveDocs() != null ? reader.getLiveDocs().get(0) :
// "null"));
final TermsEnum termsEnum = context.reader().terms(term.field())
.iterator(null);
termsEnum.seekExact(term.bytes(), state);
return termsEnum;
}
private boolean termNotInReader(AtomicReader reader, Term term)
throws IOException {
// only called from assert
// System.out.println("TQ.termNotInReader reader=" + reader +
// " term=" + field + ":" + bytes.utf8ToString());
return reader.docFreq(term) == 0;
}
@Override
public Explanation explain(AtomicReaderContext context, int doc)
throws IOException {
Scorer scorer = scorer(context, true, false, context.reader()
.getLiveDocs());
if (scorer != null) {
int newDoc = scorer.advance(doc);
if (newDoc == doc) {
float freq = scorer.freq();
ExactSimScorer docScorer = sim.exactSimScorer(stats,
context);
ComplexExplanation result = new ComplexExplanation();
result.setDescription("weight(" + getQuery() + " in " + doc
+ ") [" + sim.getClass().getSimpleName()
+ "], result of:");
Explanation scoreExplanation = docScorer.explain(doc,
new Explanation(freq, "termFreq=" + freq));
result.addDetail(scoreExplanation);
result.setValue(scoreExplanation.getValue());
result.setMatch(true);
return result;
}
}
return new ComplexExplanation(false, 0.0f, "no matching term");
}
}
/** Constructs a query for the term <code>t</code>. */
public LearnToRankTermQuery(Term t, Similarity sim) {
this(t, -1, sim);
this.sim = sim;
}
/**
* Expert: constructs a TermQuery that will use the provided docFreq instead
* of looking up the docFreq against the searcher.
*/
public LearnToRankTermQuery(Term t, int docFreq, Similarity sim) {
term = t;
this.docFreq = docFreq;
perReaderTermState = null;
this.sim = sim;
}
/**
* Expert: constructs a TermQuery that will use the provided docFreq instead
* of looking up the docFreq against the searcher.
*/
public LearnToRankTermQuery(Term t, TermContext states, Similarity sim) {
assert states != null;
term = t;
docFreq = states.docFreq();
perReaderTermState = states;
this.sim = sim;
}
/** Returns the term of this query. */
public Term getTerm() {
return term;
}
@Override
public void extractTerms(Set<Term> terms) {
terms.add(getTerm());
}
/** Prints a user-readable version of this query. */
@Override
public String toString(String field) {
StringBuilder buffer = new StringBuilder();
if (!term.field().equals(field)) {
buffer.append(term.field());
buffer.append(":");
}
buffer.append(term.text());
buffer.append(ToStringUtils.boost(getBoost()));
return buffer.toString();
}
/** Returns true iff <code>o</code> is equal to this. */
@Override
public boolean equals(Object o) {
if (!(o instanceof LearnToRankTermQuery))
return false;
LearnToRankTermQuery other = (LearnToRankTermQuery) o;
return (this.getBoost() == other.getBoost())
&& this.term.equals(other.term);
}
/** Returns a hash code value for this object. */
@Override
public int hashCode() {
return Float.floatToIntBits(getBoost()) ^ term.hashCode();
}
@Override
public Weight createWeight(IndexSearcher searcher) throws IOException {
final IndexReaderContext context = searcher.getTopReaderContext();
final TermContext termState;
if (perReaderTermState == null
|| perReaderTermState.topReaderContext != context) {
// make TermQuery single-pass if we don't have a PRTS or if the
// context differs!
termState = TermContext.build(context, term, true); // cache term
// lookups!
} else {
// PRTS was pre-build for this IS
termState = this.perReaderTermState;
}
// we must not ignore the given docFreq - if set use the given value
// (lie)
if (docFreq != -1)
termState.setDocFreq(docFreq);
return new TermWeight(searcher, termState);
}
}