/*
 * 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.flink.batch.tests;

import org.apache.flink.api.common.io.DefaultInputSplitAssigner;
import org.apache.flink.api.common.io.InputFormat;
import org.apache.flink.api.common.io.statistics.BaseStatistics;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.core.io.GenericInputSplit;
import org.apache.flink.core.io.InputSplitAssigner;
import org.apache.flink.util.Preconditions;

import java.io.IOException;

/**
 * InputFormat that generates a deterministic DataSet of Tuple2(String, Integer)
 *
 * <ul>
 *   <li>String: key, can be repeated.
 *   <li>Integer: uniformly distributed int between 0 and 127
 * </ul>
 */
public class Generator implements InputFormat<Tuple2<String, Integer>, GenericInputSplit> {

    // total number of records
    private final long numRecords;
    // total number of keys
    private final long numKeys;

    // records emitted per partition
    private long recordsPerPartition;
    // number of keys per partition
    private long keysPerPartition;

    // number of currently emitted records
    private long recordCnt;

    // id of current partition
    private int partitionId;

    private final boolean infinite;

    public static Generator generate(long numKeys, int recordsPerKey) {
        return new Generator(numKeys, recordsPerKey, false);
    }

    public static Generator generateInfinitely(long numKeys) {
        return new Generator(numKeys, 0, true);
    }

    private Generator(long numKeys, int recordsPerKey, boolean infinite) {
        this.numKeys = numKeys;
        if (infinite) {
            this.numRecords = Long.MAX_VALUE;
        } else {
            this.numRecords = numKeys * recordsPerKey;
        }
        this.infinite = infinite;
    }

    @Override
    public void configure(Configuration parameters) {}

    @Override
    public BaseStatistics getStatistics(BaseStatistics cachedStatistics) {
        return null;
    }

    @Override
    public GenericInputSplit[] createInputSplits(int minNumSplits) {

        GenericInputSplit[] splits = new GenericInputSplit[minNumSplits];
        for (int i = 0; i < minNumSplits; i++) {
            splits[i] = new GenericInputSplit(i, minNumSplits);
        }
        return splits;
    }

    @Override
    public InputSplitAssigner getInputSplitAssigner(GenericInputSplit[] inputSplits) {
        return new DefaultInputSplitAssigner(inputSplits);
    }

    @Override
    public void open(GenericInputSplit split) throws IOException {
        this.partitionId = split.getSplitNumber();
        // total number of partitions
        int numPartitions = split.getTotalNumberOfSplits();

        // ensure even distribution of records and keys
        Preconditions.checkArgument(
                numRecords % numPartitions == 0,
                "Records cannot be evenly distributed among partitions");
        Preconditions.checkArgument(
                numKeys % numPartitions == 0, "Keys cannot be evenly distributed among partitions");

        this.recordsPerPartition = numRecords / numPartitions;
        this.keysPerPartition = numKeys / numPartitions;

        this.recordCnt = 0;
    }

    @Override
    public boolean reachedEnd() {
        return !infinite && this.recordCnt >= this.recordsPerPartition;
    }

    @Override
    public Tuple2<String, Integer> nextRecord(Tuple2<String, Integer> reuse) throws IOException {

        // build key from partition id and count per partition
        String key =
                String.format("%d-%d", this.partitionId, this.recordCnt % this.keysPerPartition);

        // 128 values to filter on
        int filterVal = (int) this.recordCnt % 128;

        this.recordCnt++;

        reuse.f0 = key;
        reuse.f1 = filterVal;
        return reuse;
    }

    @Override
    public void close() {}
}