/*
    * Licensed under the GPL License. You may not use this file except in compliance with the License.
    * You may obtain a copy of the License at
    *
    *   https://www.gnu.org/licenses/old-licenses/gpl-2.0.html
    *
    * THIS PACKAGE IS PROVIDED "AS IS" AND WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING,
    * WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTIBILITY AND FITNESS FOR A PARTICULAR
    * PURPOSE.
   */
  package psiprobe.beans.stats.providers;
  
  import jakarta.servlet.http.HttpServletRequest;
  
  import java.util.ArrayList;
  import java.util.Comparator;
  import java.util.List;
  import java.util.ListIterator;
  import java.util.Map;
  
  import org.jfree.data.xy.DefaultTableXYDataset;
  import org.jfree.data.xy.XYDataItem;
  
  import psiprobe.model.stats.StatsCollection;
  
  /**
   * Retrieves stats series with names that start with the statNamePrefix. Either all matching series
   * or only "top" N ones can be retrieved. Determines top series by comparing max moving avg values.
   * Derrives legend entries from series names by removing the statNamePrefix. Ignores series param
   * (sp) and legend (s...l) request parameters.
   */
  public class MultipleSeriesProvider extends AbstractSeriesProvider {
  
    /** The stat name prefix. */
    private String statNamePrefix;
  
    /** The top. */
    private int top;
  
    /** The moving avg frame. */
    private int movingAvgFrame;
  
    /**
     * Gets the stat name prefix.
     *
     * @return the stat name prefix
     */
    public String getStatNamePrefix() {
      return statNamePrefix;
    }
  
    /**
     * Sets the stat name prefix.
     *
     * @param statNamePrefix - only series with names that start with statNamePrefix are retrieved.
     */
    public void setStatNamePrefix(String statNamePrefix) {
      this.statNamePrefix = statNamePrefix;
    }
  
    /**
     * Gets the top.
     *
     * @return the top
     */
    public int getTop() {
      return top;
    }
  
    /**
     * Sets the top.
     *
     * @param top - the number of top series to retrieve. If this value is greater than 0, only this
     *        many series with the greatest max moving avg values are retrieved.
     */
    public void setTop(int top) {
      this.top = top;
    }
  
    /**
     * Gets the moving avg frame.
     *
     * @return the moving avg frame
     */
    public int getMovingAvgFrame() {
      return movingAvgFrame;
    }
  
    /**
     * Sets the moving avg frame.
     *
     * @param movingAvgFrame - if this value is greater than 0, a moving avg value is calculated for
     *        every series using every Nth value, where N % movingAvgFrame == 0. Top series are
     *        identified based on a max moving avg value of each series. If the movingAvgFrame equals
     *        to 0, top series are determined based on a simple avg of all series values.
     */
    public void setMovingAvgFrame(int movingAvgFrame) {
      this.movingAvgFrame = movingAvgFrame;
    }
 
   @Override
   public void populate(DefaultTableXYDataset dataset, StatsCollection statsCollection,
       HttpServletRequest request) {
 
     Map<String, List<XYDataItem>> statMap = statsCollection.getStatsByPrefix(statNamePrefix);
     boolean useTop = getTop() > 0 && getTop() < statMap.size();
     List<Series> seriesList = new ArrayList<>(statMap.size());
 
     for (Map.Entry<String, List<XYDataItem>> entry : statMap.entrySet()) {
       Series ser = new Series(entry);
       if (useTop) {
         ser.calculateAvg();
       }
       seriesList.add(ser);
     }
 
     if (useTop) {
       // sorting stats by the avg value to identify the top series
       seriesList.sort((s1, s2) -> Double.compare(s1.avg, s2.avg) == 0 ? s1.key.compareTo(s2.key)
           : Double.compare(s1.avg, s2.avg) > 0 ? -1 : 1);
 
       // keeping only the top series in the list
       for (ListIterator<Series> i = seriesList.listIterator(getTop()); i.hasNext();) {
         i.next();
         i.remove();
       }
     }
 
     // sorting the remaining series by name
     seriesList.sort(Comparator.comparing(s1 -> s1.key));
 
     for (Series ser : seriesList) {
       synchronized (ser.stats) {
         dataset.addSeries(toSeries(ser.key, ser.stats));
       }
     }
   }
 
   /**
    * The Class Series.
    */
   // a helper class that holds series and calculates an avg value
   private class Series {
 
     /** The key. */
     final String key;
 
     /** The stats. */
     final List<XYDataItem> stats;
 
     /** The avg. */
     double avg = 0;
 
     /**
      * Instantiates a new series.
      *
      * @param en the en
      */
     Series(Map.Entry<String, List<XYDataItem>> en) {
       key = en.getKey().substring(statNamePrefix.length());
       stats = en.getValue();
     }
 
     /**
      * Calculate avg.
      */
     // calculating an avg value that is used for identifying the top series
     void calculateAvg() {
       long sum = 0;
       int count = 1;
 
       synchronized (stats) {
         boolean useMovingAvg = getMovingAvgFrame() > 0 && getMovingAvgFrame() < stats.size();
 
         for (ListIterator<XYDataItem> it = stats.listIterator(); it.hasNext();) {
           XYDataItem xy = it.next();
           sum += xy.getY().longValue();
 
           if ((useMovingAvg && count % getMovingAvgFrame() == 0) || !it.hasNext()) {
             double thisAvg = (double) sum / count;
             if (thisAvg > avg) {
               avg = thisAvg;
             }
             sum = 0;
             count = 1;
           } else {
             count++;
           }
         }
       }
     }
   }
 }