/*
 * 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.beam.learning.katas.coretransforms.composite;

import org.apache.beam.learning.katas.coretransforms.composite.Task.ExtractAndMultiplyNumbers;
import org.apache.beam.sdk.testing.PAssert;
import org.apache.beam.sdk.testing.TestPipeline;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.values.PCollection;
import org.junit.Rule;
import org.junit.Test;

public class TaskTest {

  @Rule
  public final transient TestPipeline testPipeline = TestPipeline.create();

  @Test
  public void compositeTransform() {
    Create.Values<String> values = Create.of("1,2,3,4,5", "6,7,8,9,10");

    PCollection<Integer> results =
        testPipeline
            .apply(values)
            .apply(new ExtractAndMultiplyNumbers());

    PAssert.that(results)
        .containsInAnyOrder(10, 20, 30, 40, 50, 60, 70, 80, 90, 100);

    testPipeline.run().waitUntilFinish();
  }

}