/*
 * Licensed to Elasticsearch under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch 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.elasticsearch.search.facet.statistical;

import org.apache.lucene.index.AtomicReaderContext;
import org.elasticsearch.index.fielddata.IndexNumericFieldData;
import org.elasticsearch.index.fielddata.SortedNumericDoubleValues;
import org.elasticsearch.search.facet.DoubleFacetAggregatorBase;
import org.elasticsearch.search.facet.FacetExecutor;
import org.elasticsearch.search.facet.InternalFacet;
import org.elasticsearch.search.internal.SearchContext;

import java.io.IOException;

/**
 *
 */
public class StatisticalFacetExecutor extends FacetExecutor {

    private final IndexNumericFieldData indexFieldData;

    double min = Double.POSITIVE_INFINITY;
    double max = Double.NEGATIVE_INFINITY;
    double total = 0;
    double sumOfSquares = 0.0;
    long count;
    int missing;

    public StatisticalFacetExecutor(IndexNumericFieldData indexFieldData, SearchContext context) {
        this.indexFieldData = indexFieldData;
    }

    @Override
    public Collector collector() {
        return new Collector();
    }

    @Override
    public InternalFacet buildFacet(String facetName) {
        return new InternalStatisticalFacet(facetName, min, max, total, sumOfSquares, count);
    }

    class Collector extends FacetExecutor.Collector {

        private final StatsProc statsProc = new StatsProc();
        private SortedNumericDoubleValues values;

        @Override
        public void setNextReader(AtomicReaderContext context) throws IOException {
            values = indexFieldData.load(context).getDoubleValues();
        }

        @Override
        public void collect(int doc) throws IOException {
            statsProc.onDoc(doc, values);
        }

        @Override
        public void postCollection() {
            StatisticalFacetExecutor.this.min = statsProc.min;
            StatisticalFacetExecutor.this.max = statsProc.max;
            StatisticalFacetExecutor.this.total = statsProc.total;
            StatisticalFacetExecutor.this.sumOfSquares = statsProc.sumOfSquares;
            StatisticalFacetExecutor.this.count = statsProc.count;
            StatisticalFacetExecutor.this.missing = statsProc.missing;
        }
    }

    public static class StatsProc extends DoubleFacetAggregatorBase {

        double min = Double.POSITIVE_INFINITY;
        double max = Double.NEGATIVE_INFINITY;
        double total = 0;
        double sumOfSquares = 0.0;
        long count;
        int missing;

        @Override
        public void onValue(int docId, double value) {
            if (value < min) {
                min = value;
            }
            if (value > max) {
                max = value;
            }
            sumOfSquares += value * value;
            total += value;
            count++;
        }

        public final double min() {
            return min;
        }

        public final double max() {
            return max;
        }

        public final long count() {
            return count;
        }

        public final double sumOfSquares() {
            return sumOfSquares;
        }
    }
}
