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.learning.katas.windowing.addingtimestamp.pardo;
  
  import java.io.Serializable;
  import java.util.Arrays;
  import java.util.List;
  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.transforms.DoFn;
  import org.apache.beam.sdk.transforms.ParDo;
  import org.apache.beam.sdk.values.KV;
  import org.apache.beam.sdk.values.PCollection;
  import org.joda.time.DateTime;
  import org.joda.time.Instant;
  import org.junit.Rule;
  import org.junit.Test;
  
  public class TaskTest implements Serializable {
  
    @Rule
    public final transient TestPipeline testPipeline = TestPipeline.create();
  
    @SuppressWarnings("unchecked")
    @Test
    public void windowing_addingTimeStamp_parDo() {
      List<Event> events = Arrays.asList(
          new Event("1", "book-order", DateTime.parse("2019-06-01T00:00:00+00:00")),
          new Event("2", "pencil-order", DateTime.parse("2019-06-02T00:00:00+00:00")),
          new Event("3", "paper-order", DateTime.parse("2019-06-03T00:00:00+00:00")),
          new Event("4", "pencil-order", DateTime.parse("2019-06-04T00:00:00+00:00")),
          new Event("5", "book-order", DateTime.parse("2019-06-05T00:00:00+00:00"))
      );
  
      PCollection<Event> eventsPColl = testPipeline.apply(Create.of(events));
  
      PCollection<Event> results = Task.applyTransform(eventsPColl);
  
      PCollection<KV<Event, Instant>> timestampedResults =
          results.apply("KV<Event, Instant>",
              ParDo.of(new DoFn<Event, KV<Event, Instant>>() {
  
                @ProcessElement
                public void processElement(@Element Event event, ProcessContext context,
                    OutputReceiver<KV<Event, Instant>> out) {
  
                  out.output(KV.of(event, context.timestamp()));
                }
  
              })
          );
  
      PAssert.that(results)
          .containsInAnyOrder(events);
  
      PAssert.that(timestampedResults)
          .containsInAnyOrder(
              KV.of(events.get(0), events.get(0).getDate().toInstant()),
              KV.of(events.get(1), events.get(1).getDate().toInstant()),
              KV.of(events.get(2), events.get(2).getDate().toInstant()),
              KV.of(events.get(3), events.get(3).getDate().toInstant()),
              KV.of(events.get(4), events.get(4).getDate().toInstant())
          );
  
      testPipeline.run().waitUntilFinish();
    }
  
  }