package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query;

/*
 This file is part of ELKI:
 Environment for Developing KDD-Applications Supported by Index-Structures

 Copyright (C) 2012
 Ludwig-Maximilians-Universität München
 Lehr- und Forschungseinheit für Datenbanksysteme
 ELKI Development Team

 This program is free software: you can redistribute it and/or modify
 it under the terms of the GNU Affero General Public License as published by
 the Free Software Foundation, either version 3 of the License, or
 (at your option) any later version.

 This program is distributed in the hope that it will be useful,
 but WITHOUT ANY WARRANTY; without even the implied warranty of
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 GNU Affero General Public License for more details.

 You should have received a copy of the GNU Affero General Public License
 along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

import java.util.List;

import de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.database.query.DistanceResultPair;
import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery;
import de.lmu.ifi.dbs.elki.database.query.rknn.AbstractRKNNQuery;
import de.lmu.ifi.dbs.elki.distance.distancevalue.Distance;
import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.AbstractMkTree;
import de.lmu.ifi.dbs.elki.utilities.exceptions.AbortException;
import de.lmu.ifi.dbs.elki.utilities.exceptions.ExceptionMessages;

/**
 * Instance of a rKNN query for a particular spatial index.
 * 
 * @author Erich Schubert
 * 
 * @apiviz.uses AbstractMkTree
 */
public class MkTreeRKNNQuery<O, D extends Distance<D>> extends AbstractRKNNQuery<O, D> {
  /**
   * The index to use
   */
  protected final AbstractMkTree<O, D, ?, ?> index;

  /**
   * Constructor.
   * 
   * @param index Index to use
   * @param distanceQuery Distance query used
   */
  public MkTreeRKNNQuery(AbstractMkTree<O, D, ?, ?> index, DistanceQuery<O, D> distanceQuery) {
    super(distanceQuery);
    this.index = index;
  }

  @Override
  public List<DistanceResultPair<D>> getRKNNForObject(O obj, int k) {
    throw new AbortException("Preprocessor KNN query only supports ID queries.");
  }

  @Override
  public List<DistanceResultPair<D>> getRKNNForDBID(DBID id, int k) {
    return index.reverseKNNQuery(id, k);
  }

  @Override
  public List<List<DistanceResultPair<D>>> getRKNNForBulkDBIDs(ArrayDBIDs ids, int k) {
    // TODO: implement
    throw new UnsupportedOperationException(ExceptionMessages.UNSUPPORTED_NOT_YET);
  }
}