gerrit.onap Code Review - dcaegen2/services.git/blob

   1 /*******************************************************************************
   2  *  ============LICENSE_START=======================================================
   3  *  slice-analysis-ms
   4  *  ================================================================================
   5  *   Copyright (C) 2020 Wipro Limited.
   6  *   ==============================================================================
   7  *     Licensed under the Apache License, Version 2.0 (the "License");
   8  *     you may not use this file except in compliance with the License.
   9  *     You may obtain a copy of the License at
  10  *
  11  *          http://www.apache.org/licenses/LICENSE-2.0
  12  *
  13  *     Unless required by applicable law or agreed to in writing, software
  14  *     distributed under the License is distributed on an "AS IS" BASIS,
  15  *     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  16  *     See the License for the specific language governing permissions and
  17  *     limitations under the License.
  18  *     ============LICENSE_END=========================================================
  19  *
  20  *******************************************************************************/
  21
  22 package org.onap.slice.analysis.ms.service;
  23
  24 import java.util.ArrayList;
  25 import java.util.List;
  26
  27 import javax.annotation.PostConstruct;
  28
  29 import org.onap.slice.analysis.ms.models.MeasurementObject;
  30 import org.slf4j.Logger;
  31 import org.slf4j.LoggerFactory;
  32 import org.springframework.stereotype.Component;
  33
  34 /**
  35  * This class has utility methods for calculating the average of samples
  36  */
  37 @Component
  38 public class AverageCalculator {
  39         private static Logger log = LoggerFactory.getLogger(AverageCalculator.class);
  40         private List<String> pmNames;
  41
  42         @PostConstruct
  43         public void init() {
  44                 pmNames = new ArrayList<>();
  45                 pmNames.add("PrbUsedDl");
  46                 pmNames.add("PrbUsedUl");
  47         }
  48
  49         /**
  50          * Find average of samples
  51          */
  52         public List<MeasurementObject> findAverageOfSamples(List<List<MeasurementObject>> samples) {
  53                 int numOfSamples = samples.size();
  54                 List<MeasurementObject> result = new ArrayList<>();
  55                 samples.forEach(sample ->
  56                 sample.forEach(cellMeasObj -> {
  57                         int index = result.indexOf(cellMeasObj);
  58                         if(index != -1) {
  59                                 result.set(index, findSum(result.get(index), cellMeasObj));
  60                         }
  61                         else {
  62                                 result.add(cellMeasObj);
  63                         }
  64                 })
  65                                 );
  66                 return findAvg(result, numOfSamples);
  67         }
  68
  69         /**
  70          * Calculate the sum
  71          */
  72         public MeasurementObject findSum(MeasurementObject existing, MeasurementObject current) {
  73                 pmNames.forEach(pmName -> {
  74                         int newValue = current.getPmData().get(pmName) + existing.getPmData().get(pmName);
  75                         existing.getPmData().put(pmName, newValue);
  76                 });
  77                 return existing;
  78         }
  79
  80         /**
  81          * Calculate the average
  82          */
  83         public List<MeasurementObject> findAvg(List<MeasurementObject> result, int numOfSamples) {
  84                 result.forEach(cellMeasObj ->
  85                 pmNames.forEach(pmName -> {
  86                         int value = (cellMeasObj.getPmData().get(pmName))/numOfSamples;
  87                         cellMeasObj.getPmData().put(pmName, value);
  88                 })
  89                                 );
  90                 log.debug("Average of measurement data samples {}",result);
  91                 return result;
  92         }
  93 }
  94