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.apex.examples.machinedata;
  
  import java.util.Map;
  
  import org.slf4j.Logger;
  import org.slf4j.LoggerFactory;
  
  import org.apache.apex.examples.machinedata.data.MachineKey;
  import org.apache.apex.examples.machinedata.operator.MachineInfoAveragingOperator;
  import org.apache.apex.examples.machinedata.operator.MachineInfoAveragingPrerequisitesOperator;
  import org.apache.apex.malhar.contrib.redis.RedisKeyValPairOutputOperator;
  import org.apache.apex.malhar.lib.io.SmtpOutputOperator;
  import org.apache.hadoop.conf.Configuration;
  
  import com.datatorrent.api.DAG;
  import com.datatorrent.api.StreamingApplication;
  import com.datatorrent.api.annotation.ApplicationAnnotation;
  
  /**
   * <p>
   * Resource monitor application.
   * </p>
   *
   * @since 0.3.5
   */
  @ApplicationAnnotation(name = "MachineDataExample")
  @SuppressWarnings("unused")
  public class Application implements StreamingApplication
  {
  
    private static final Logger LOG = LoggerFactory.getLogger(Application.class);
  
    /**
     * This function sets up the DAG for calculating the average
     *
     * @param dag  the DAG instance
     * @param conf the configuration instance
     * @return MachineInfoAveragingPrerequisitesOperator
     */
    private MachineInfoAveragingPrerequisitesOperator addAverageCalculation(DAG dag, Configuration conf)
    {
      MachineInfoAveragingPrerequisitesOperator prereqAverageOper = dag.addOperator("Aggregator", MachineInfoAveragingPrerequisitesOperator.class);
      MachineInfoAveragingOperator averageOperator = dag.addOperator("AverageCalculator", MachineInfoAveragingOperator.class);
      RedisKeyValPairOutputOperator<MachineKey, Map<String, String>> redisAvgOperator = dag.addOperator("Persister", new RedisKeyValPairOutputOperator<MachineKey, Map<String, String>>());
      dag.addStream("Average", averageOperator.outputPort, redisAvgOperator.input);
      SmtpOutputOperator smtpOutputOperator = dag.addOperator("Alerter", new SmtpOutputOperator());
      dag.addStream("Aggregates", prereqAverageOper.outputPort, averageOperator.inputPort);
      dag.addStream("Alerts", averageOperator.smtpAlert, smtpOutputOperator.input);
      return prereqAverageOper;
    }
  
    /**
     * Create the DAG
     */
    @Override
    public void populateDAG(DAG dag, Configuration conf)
    {
      InputReceiver randomGen = dag.addOperator("Receiver", InputReceiver.class);
      DimensionGenerator dimensionGenerator = dag.addOperator("DimensionsGenerator", DimensionGenerator.class);
      dag.addStream("Events", randomGen.outputInline, dimensionGenerator.inputPort);
      MachineInfoAveragingPrerequisitesOperator prereqAverageOper = addAverageCalculation(dag, conf);
      dag.addStream("DimensionalData", dimensionGenerator.outputInline, prereqAverageOper.inputPort);
    }
  
  }
  