/*
 * 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.wayang.spark.operators;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.lang3.Validate;
import org.apache.wayang.basic.channels.FileChannel;
import org.apache.wayang.core.platform.ChannelInstance;
import org.apache.wayang.core.types.DataSetType;
import org.apache.wayang.spark.channels.RddChannel;
import org.apache.wayang.spark.execution.SparkExecutor;
import org.junit.Test;

/**
 * Test suite for {@link SparkObjectFileSink}.
 */
public class SparkObjectFileSinkTest extends SparkOperatorTestBase {

    // If this test fails, make sure you have Hadoop installed and it's HADOOP_HOME is set.
    // Also, if on Windows: Make sure you installed the winutils binaries (https://github.com/cdarlint/winutils)
    @Test
    public void testWritingDoesNotFail() throws IOException {
        SparkExecutor sparkExecutor = null;
        try {

            // Prepare the sink.
            Path tempDir = Files.createTempDirectory("wayang-spark");
            tempDir.toFile().deleteOnExit();
            Path targetFile = tempDir.resolve("testWritingDoesNotFail");
            RddChannel.Instance input = this.createRddChannelInstance(enumerateRange(10000));
            final SparkObjectFileSink<Integer> sink = new SparkObjectFileSink<>(
                    targetFile.toUri().toString(),
                    DataSetType.createDefault(Integer.class)
            );

            // Set up the ChannelInstances.
            final ChannelInstance[] inputs = new ChannelInstance[]{input};
            final ChannelInstance outputChannel = FileChannel.HDFS_OBJECT_FILE_DESCRIPTOR
                    .createChannel(null, configuration)
                    .createInstance(sparkExecutor, null, -1);
            final ChannelInstance[] outputs = new ChannelInstance[]{outputChannel};

            // Execute.
            this.evaluate(sink, inputs, outputs);
        } finally {
            if (sparkExecutor != null) sparkExecutor.dispose();
        }

    }

    static List<Integer> enumerateRange(int to) {
        Validate.isTrue(to >= 0);
        List<Integer> range = new ArrayList<>(to);
        for (int i = 0; i < to; i++) {
            range.add(i);
        }
        return range;
    }
}