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.withtimestamps;
  
  // beam-playground:
  //   name: WithTimestamps
  //   description: Task from katas to assign each element a timestamp using `WithTimestamps`.
  //   multifile: true
  //   context_line: 45
  //   categories:
  //     - Streaming
  //   complexity: MEDIUM
  //   tags:
  //     - timestamp
  //     - transforms
  //     - event
  
  import org.apache.beam.learning.katas.util.Log;
  import org.apache.beam.sdk.Pipeline;
  import org.apache.beam.sdk.options.PipelineOptions;
  import org.apache.beam.sdk.options.PipelineOptionsFactory;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.transforms.WithTimestamps;
  import org.apache.beam.sdk.values.PCollection;
  import org.joda.time.DateTime;
  
  public class Task {
  
    public static void main(String[] args) {
      PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
      Pipeline pipeline = Pipeline.create(options);
  
      PCollection<Event> events =
          pipeline.apply(
              Create.of(
                  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> output = applyTransform(events);
  
      output.apply(Log.ofElements());
  
      pipeline.run();
    }
  
    static PCollection<Event> applyTransform(PCollection<Event> events) {
      return events.apply(WithTimestamps.of(event -> event.getDate().toInstant()));
    }
  
  }