/*
 * Copyright Confluent Inc.
 *
 * Licensed 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 io.confluent.examples.streams;

import io.confluent.examples.streams.avro.WikiFeed;
import io.confluent.examples.streams.kafka.EmbeddedSingleNodeKafkaCluster;
import io.confluent.kafka.serializers.AbstractKafkaSchemaSerDeConfig;
import io.confluent.kafka.serializers.KafkaAvroDeserializer;
import io.confluent.kafka.serializers.KafkaAvroDeserializerConfig;
import io.confluent.kafka.serializers.KafkaAvroSerializer;
import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;
import org.apache.kafka.common.serialization.ByteArraySerializer;
import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.Produced;
import org.junit.BeforeClass;
import org.junit.ClassRule;
import org.junit.Test;

import java.util.Collections;
import java.util.List;
import java.util.Properties;

import static org.hamcrest.CoreMatchers.equalTo;
import static org.hamcrest.MatcherAssert.assertThat;

/**
 * End-to-end integration test that demonstrates how to work on Specific Avro data.
 *
 * See {@link GenericAvroIntegrationTest} for the equivalent Generic Avro integration test.
 */
public class SpecificAvroIntegrationTest {

  @ClassRule
  public static final EmbeddedSingleNodeKafkaCluster CLUSTER = new EmbeddedSingleNodeKafkaCluster();

  private static final String inputTopic = "inputTopic";
  private static final String outputTopic = "outputTopic";

  @BeforeClass
  public static void startKafkaCluster() throws InterruptedException {
    CLUSTER.createTopic(inputTopic);
    CLUSTER.createTopic(outputTopic);
  }

  @Test
  public void shouldRoundTripSpecificAvroDataThroughKafka() throws Exception {
    final List<WikiFeed> inputValues = Collections.singletonList(
        WikiFeed.newBuilder().setUser("alice").setIsNew(true).setContent("lorem ipsum").build()
    );

    //
    // Step 1: Configure and start the processor topology.
    //
    final StreamsBuilder builder = new StreamsBuilder();

    final Properties streamsConfiguration = new Properties();
    streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "specific-avro-integration-test");
    streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
    streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.ByteArray().getClass().getName());
    streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, SpecificAvroSerde.class);
    streamsConfiguration.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
    streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

    // Write the input data as-is to the output topic.
    //
    // Normally, because a) we have already configured the correct default serdes for keys and
    // values and b) the types for keys and values are the same for both the input topic and the
    // output topic, we would only need to define:
    //
    //   builder.stream(inputTopic).to(outputTopic);
    //
    // However, in the code below we intentionally override the default serdes in `to()` to
    // demonstrate how you can construct and configure a specific Avro serde manually.
    final Serde<String> stringSerde = Serdes.String();
    final Serde<WikiFeed> specificAvroSerde = new SpecificAvroSerde<>();
    // Note how we must manually call `configure()` on this serde to configure the schema registry
    // url.  This is different from the case of setting default serdes (see `streamsConfiguration`
    // above), which will be auto-configured based on the `StreamsConfiguration` instance.
    final boolean isKeySerde = false;
    specificAvroSerde.configure(
        Collections.singletonMap(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl()),
        isKeySerde);
    final KStream<String, WikiFeed> stream = builder.stream(inputTopic);
    stream.to(outputTopic, Produced.with(stringSerde, specificAvroSerde));

    final KafkaStreams streams = new KafkaStreams(builder.build(), streamsConfiguration);
    streams.start();

    //
    // Step 2: Produce some input data to the input topic.
    //
    final Properties producerConfig = new Properties();
    producerConfig.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
    producerConfig.put(ProducerConfig.ACKS_CONFIG, "all");
    producerConfig.put(ProducerConfig.RETRIES_CONFIG, 1);
    producerConfig.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, ByteArraySerializer.class);
    producerConfig.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);
    producerConfig.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
    IntegrationTestUtils.produceValuesSynchronously(inputTopic, inputValues, producerConfig);

    //
    // Step 3: Verify the application's output data.
    //
    final Properties consumerConfig = new Properties();
    consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
    consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, "specific-avro-integration-test-standard-consumer");
    consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
    consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, KafkaAvroDeserializer.class);
    consumerConfig.put(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, CLUSTER.schemaRegistryUrl());
    consumerConfig.put(KafkaAvroDeserializerConfig.SPECIFIC_AVRO_READER_CONFIG, true);
    final List<WikiFeed> actualValues = IntegrationTestUtils.waitUntilMinValuesRecordsReceived(
        consumerConfig,
        outputTopic,
        inputValues.size()
    );
    streams.close();
    assertThat(actualValues, equalTo(inputValues));
  }
}
