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.sdk.extensions.sql.meta.provider.kafka;
  
  import org.apache.beam.sdk.coders.ByteArrayCoder;
  import org.apache.beam.sdk.io.kafka.KafkaRecord;
  import org.apache.beam.sdk.io.kafka.KafkaRecordCoder;
  import org.apache.beam.sdk.io.kafka.KafkaTimestampType;
  import org.apache.beam.sdk.io.kafka.ProducerRecordCoder;
  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.MapElements;
  import org.apache.beam.sdk.transforms.SimpleFunction;
  import org.apache.beam.sdk.values.KV;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.Row;
  import org.apache.kafka.clients.producer.ProducerRecord;
  import org.apache.kafka.common.header.internals.RecordHeaders;
  import org.junit.Rule;
  import org.junit.Test;
  
  /** Test utility for BeamKafkaTable implementations. */
  public abstract class BeamKafkaTableTest {
    @Rule public TestPipeline pipeline = TestPipeline.create();
  
    /** Returns proper implementation of BeamKafkaTable for the tested format. */
    protected abstract BeamKafkaTable getBeamKafkaTable();
  
    /** Returns encoded payload in the tested format corresponding to the row in `generateRow(i)`. */
    protected abstract byte[] generateEncodedPayload(int i) throws Exception;
  
    /** Provides a deterministic row from the given integer. */
    protected abstract Row generateRow(int i);
  
    @Test
    public void testRecorderDecoder() throws Exception {
      BeamKafkaTable kafkaTable = getBeamKafkaTable();
  
      PCollection<Row> result =
          pipeline
              .apply(Create.of(generateEncodedPayload(1), generateEncodedPayload(2)))
              .apply(MapElements.via(new BytesToRecord()))
              .setCoder(KafkaRecordCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of()))
              .apply(kafkaTable.getPTransformForInput());
  
      PAssert.that(result).containsInAnyOrder(generateRow(1), generateRow(2));
      pipeline.run();
    }
  
    @Test
    public void testRecorderEncoder() {
      BeamKafkaTable kafkaTable = getBeamKafkaTable();
      PCollection<Row> result =
          pipeline
              .apply(Create.of(generateRow(1), generateRow(2)))
              .apply(kafkaTable.getPTransformForOutput())
              .setCoder(ProducerRecordCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of()))
              .apply(MapElements.via(new ProducerToRecord()))
              .setCoder(KafkaRecordCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of()))
              .apply(kafkaTable.getPTransformForInput());
      PAssert.that(result).containsInAnyOrder(generateRow(1), generateRow(2));
      pipeline.run();
    }
  
    private static class BytesToRecord extends SimpleFunction<byte[], KafkaRecord<byte[], byte[]>> {
      @Override
      public KafkaRecord<byte[], byte[]> apply(byte[] bytes) {
        return new KafkaRecord<>(
            "abc",
            0,
            0,
            0,
            KafkaTimestampType.LOG_APPEND_TIME,
            new RecordHeaders(),
            KV.of(new byte[] {}, bytes));
      }
    }
  
    static class ProducerToRecord
        extends SimpleFunction<ProducerRecord<byte[], byte[]>, KafkaRecord<byte[], byte[]>> {
      @Override
      public KafkaRecord<byte[], byte[]> apply(ProducerRecord<byte[], byte[]> record) {
        return new KafkaRecord<>(
            record.topic(),
            record.partition() != null ? record.partition() : 0,
            0,
            0,
            KafkaTimestampType.LOG_APPEND_TIME,
            record.headers(),
            record.key(),
            record.value());
      }
    }
  }
  