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* 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,
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* See the License for the specific language governing permissions and
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package org.apache.streampipes.pe.examples.jvm.staticproperty;
import org.apache.streampipes.extensions.api.extractor.IStaticPropertyExtractor;
import org.apache.streampipes.extensions.api.pe.IStreamPipesDataProcessor;
import org.apache.streampipes.extensions.api.pe.context.EventProcessorRuntimeContext;
import org.apache.streampipes.extensions.api.pe.param.IDataProcessorParameters;
import org.apache.streampipes.extensions.api.pe.routing.SpOutputCollector;
import org.apache.streampipes.extensions.api.runtime.ResolvesContainerProvidedOptions;
import org.apache.streampipes.model.runtime.Event;
import org.apache.streampipes.model.staticproperty.Option;
import org.apache.streampipes.sdk.builder.ProcessingElementBuilder;
import org.apache.streampipes.sdk.builder.StreamRequirementsBuilder;
import org.apache.streampipes.sdk.builder.processor.DataProcessorConfiguration;
import org.apache.streampipes.sdk.helpers.EpRequirements;
import org.apache.streampipes.sdk.helpers.Labels;
import org.apache.streampipes.sdk.helpers.OutputStrategies;
import org.apache.streampipes.sdk.helpers.SupportedFormats;
import org.apache.streampipes.sdk.helpers.SupportedProtocols;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import java.util.Arrays;
import java.util.List;
import java.util.Properties;
import java.util.Set;
import java.util.stream.Collectors;
public class RuntimeResolvableSingleValue implements IStreamPipesDataProcessor, ResolvesContainerProvidedOptions {
private static final String KafkaHost = "kafka-host";
private static final String KafkaPort = "kafka-port";
@Override
public DataProcessorConfiguration declareConfig() {
return DataProcessorConfiguration.create(
RuntimeResolvableSingleValue::new,
ProcessingElementBuilder.create("org.apache.streampipes.examples.staticproperty" +
".runtimeresolvablesingle", "Runtime-resolvable single value example", "")
.requiredStream(StreamRequirementsBuilder.
create()
.requiredProperty(EpRequirements.anyProperty())
.build())
.outputStrategy(OutputStrategies.keep())
.supportedProtocols(SupportedProtocols.kafka())
.supportedFormats(SupportedFormats.jsonFormat())
.requiredTextParameter(Labels.from(KafkaHost, "Kafka Host", ""))
.requiredIntegerParameter(Labels.from(KafkaPort, "Kafka Port", ""))
// create a single value selection parameter that is resolved at runtime
.requiredSingleValueSelectionFromContainer(Labels.from("id", "Example Name", "Example " +
"Description"), Arrays.asList(KafkaHost, KafkaPort))
.build()
);
}
@Override
public void onPipelineStarted(IDataProcessorParameters params, SpOutputCollector collector, EventProcessorRuntimeContext runtimeContext) {
// Extract the text parameter value
String selectedSingleValue = params.extractor().selectedSingleValue("id", String.class);
}
@Override
public void onEvent(Event event, SpOutputCollector collector) {
}
@Override
public void onPipelineStopped() {
}
@Override
public List<Option> resolveOptions(String requestId, IStaticPropertyExtractor extractor) {
String host = extractor.singleValueParameter(KafkaHost, String.class);
Integer port = extractor.singleValueParameter(KafkaPort, Integer.class);
String kafkaAddress = host + ":" + port;
Properties props = new Properties();
props.put("bootstrap.servers", kafkaAddress);
props.put("group.id", "test-consumer-group");
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(props);
Set<String> topics = consumer.listTopics().keySet();
consumer.close();
return topics.stream().map(Option::new).collect(Collectors.toList());
}
}