content: /*
   * 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.it.gcp;
  
  import static org.apache.beam.it.truthmatchers.PipelineAsserts.assertThatPipeline;
  import static org.apache.beam.it.truthmatchers.PipelineAsserts.assertThatResult;
  import static org.apache.beam.sdk.util.construction.resources.PipelineResources.detectClassPathResourcesToStage;
  
  import java.io.IOException;
  import java.time.Duration;
  import java.util.Arrays;
  import java.util.List;
  import org.apache.beam.it.common.PipelineLauncher.LaunchConfig;
  import org.apache.beam.it.common.PipelineLauncher.LaunchInfo;
  import org.apache.beam.it.common.PipelineLauncher.Sdk;
  import org.apache.beam.it.common.PipelineOperator.Result;
  import org.apache.beam.runners.dataflow.DataflowRunner;
  import org.apache.beam.sdk.io.TextIO;
  import org.apache.beam.sdk.options.PipelineOptions;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.transforms.Count;
  import org.apache.beam.sdk.transforms.Filter;
  import org.apache.beam.sdk.transforms.FlatMapElements;
  import org.apache.beam.sdk.transforms.MapElements;
  import org.apache.beam.sdk.values.KV;
  import org.apache.beam.sdk.values.TypeDescriptors;
  import org.junit.Before;
  import org.junit.Rule;
  import org.junit.Test;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  @RunWith(JUnit4.class)
  public class WordCountIT extends IOLoadTestBase {
  
    @Rule public TestPipeline wcPipeline = TestPipeline.create();
  
    @Before
    public void setup() {
      buildPipeline();
    }
  
    @Test
    public void testWordCountDataflow() throws IOException {
      LaunchConfig options =
          LaunchConfig.builder("test-wordcount")
              .setSdk(Sdk.JAVA)
              .setPipeline(wcPipeline)
              .addParameter("runner", "DataflowRunner")
              .build();
  
      LaunchInfo launchInfo = pipelineLauncher.launch(project, region, options);
      assertThatPipeline(launchInfo).isRunning();
      Result result =
          pipelineOperator.waitUntilDone(createConfig(launchInfo, Duration.ofMinutes(20)));
      assertThatResult(result).isLaunchFinished();
    }
  
    @Test
    public void testWordCountDataflowWithGCSFilesToStage() throws IOException {
  
      PipelineOptions pipelineOptions = wcPipeline.getOptions();
      List<String> filesToStage =
          detectClassPathResourcesToStage(DataflowRunner.class.getClassLoader(), pipelineOptions);
      filesToStage.add("gs://apache-beam-samples/shakespeare/kinglear.txt");
  
      LaunchConfig options =
          LaunchConfig.builder("test-wordcount")
              .setSdk(Sdk.JAVA)
              .setPipeline(wcPipeline)
              .addParameter("runner", "DataflowRunner")
              .addParameter("filesToStage", String.join(",", filesToStage))
              .build();
  
      LaunchInfo launchInfo = pipelineLauncher.launch(project, region, options);
      assertThatPipeline(launchInfo).isRunning();
      Result result =
          pipelineOperator.waitUntilDone(createConfig(launchInfo, Duration.ofMinutes(20)));
      assertThatResult(result).isLaunchFinished();
    }
  
    /** Build WordCount pipeline. */
    private void buildPipeline() {
      wcPipeline
          .apply(TextIO.read().from("gs://apache-beam-samples/shakespeare/kinglear.txt"))
          .apply(
              FlatMapElements.into(TypeDescriptors.strings())
                  .via((String line) -> Arrays.asList(line.split("[^\\p{L}]+"))))
          .apply(Filter.by((String word) -> !word.isEmpty()))
          .apply(Count.perElement())
          .apply(
              MapElements.into(TypeDescriptors.strings())
                  .via(
                      (KV<String, Long> wordCount) ->
                          wordCount.getKey() + ": " + wordCount.getValue()))
          .apply(TextIO.write().to("wordcounts"));
    }
  }
  