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/*
 * Copyright (c) 2008-2016, Hazelcast, Inc. All Rights Reserved.
 *
 * Licensed 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 com.hazelcast.mapreduce.aggregation.impl;

import com.hazelcast.mapreduce.Collator;
import com.hazelcast.mapreduce.Combiner;
import com.hazelcast.mapreduce.CombinerFactory;
import com.hazelcast.mapreduce.Mapper;
import com.hazelcast.mapreduce.Reducer;
import com.hazelcast.mapreduce.ReducerFactory;
import com.hazelcast.mapreduce.aggregation.Supplier;

import java.util.Map;

/**
 * The predefined average aggregation for values of type double.
 *
 * @param    the input key type
 * @param  the input value type
 */
public class DoubleAvgAggregation
        implements AggType, AvgTuple, Double> {

    @Override
    public Collator>, Double> getCollator() {
        return new Collator>, Double>() {
            @Override
            public Double collate(Iterable>> values) {
                long count = 0;
                double amount = 0;
                for (Map.Entry> entry : values) {
                    AvgTuple tuple = entry.getValue();
                    count += tuple.getFirst();
                    amount += tuple.getSecond();
                }
                return amount / count;
            }
        };
    }

    @Override
    public Mapper getMapper(Supplier supplier) {
        return new SupplierConsumingMapper(supplier);
    }

    @Override
    public CombinerFactory> getCombinerFactory() {
        return new DoubleAvgCombinerFactory();
    }

    @Override
    public ReducerFactory, AvgTuple> getReducerFactory() {
        return new DoubleAvgReducerFactory();
    }

    /**
     * Average CombinerFactory for type double
     *
     * @param  the key type
     */
    static final class DoubleAvgCombinerFactory
            extends AbstractAggregationCombinerFactory> {

        @Override
        public Combiner> newCombiner(Key key) {
            return new DoubleAvgCombiner();
        }

        @Override
        public int getId() {
            return AggregationsDataSerializerHook.DOUBLE_AVG_COMBINER_FACTORY;
        }
    }

    /**
     * Average ReducerFactory for type double
     *
     * @param  the key type
     */
    static final class DoubleAvgReducerFactory
            extends AbstractAggregationReducerFactory, AvgTuple> {

        @Override
        public Reducer, AvgTuple> newReducer(Key key) {
            return new DoubleAvgReducer();
        }

        @Override
        public int getId() {
            return AggregationsDataSerializerHook.DOUBLE_AVG_REDUCER_FACTORY;
        }
    }

    /**
     * Average Combiner for type double
     */
    private static final class DoubleAvgCombiner
            extends Combiner> {

        private long count;
        private double amount;

        @Override
        public void combine(Double value) {
            count++;
            amount += value;
        }

        @Override
        public AvgTuple finalizeChunk() {
            long count = this.count;
            double amount = this.amount;
            this.count = 0;
            this.amount = 0;
            return new AvgTuple(count, amount);
        }
    }

    /**
     * Average Reducer for type double
     */
    private static final class DoubleAvgReducer
            extends Reducer, AvgTuple> {

        private long count;
        private double amount;

        @Override
        public void reduce(AvgTuple value) {
            count += value.getFirst();
            amount += value.getSecond();
        }

        @Override
        public AvgTuple finalizeReduce() {
            return new AvgTuple(count, amount);
        }
    }
}