/*
    * 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.hadoop.chukwa.datacollection;
  
  import org.apache.log4j.Logger;
  
  import java.util.Map;
  import java.util.LinkedList;
  import java.util.Date;
  import java.util.concurrent.ConcurrentHashMap;
  
  /**
   * Manages stats for multiple objects of type T. T can be any class that is used
   * as a key for offset statistics (i.e. Agent, Collector, etc.). A client would
   * create an instance of this class and call <code>addOffsetDataPoint<code>
   * repeatedly over time. Then <code>calcAverageRate</code> can be called to
   * retrieve the average offset-unit per second over a given time interval.
   * <P>
   * For a given object T that is actively adding data points, stats are kept for
   * up to 20 minutes.
   * <P>
   * Care should be taken to always call <code>remove()</code> when old T objects
   * should no longer be tracked.
   */
  public class OffsetStatsManager<T> {
    protected Logger log = Logger.getLogger(getClass());
  
    /*
     * This value is how far back we keep data for. Old data is purge when new
     * data is added.
     */
    private static long DEFAULT_STATS_DATA_TTL = 20L * 60L * 1000L; // 20 minutes
  
    /**
     * How far back can our data be to be considered fresh enough, relative to the
     * interval requests. For example if this value is 0.25 and interval requested
     * is 60 seconds, our most recent data point must be no more than 15 seconds old.
     */
    private static double DEFAULT_STALE_THRESHOLD = 0.25;
  
  
    /**
     * How far back do we need to have historical data for, relative to the
     * interval requested. For example if this value is 0.25 and the interval
     * requested is 60 seconds, our most oldest data point must be within 15
     * seconds of the most recent data point - 60.
     */
    private static double DEFAULT_AGE_THRESHOLD = 0.25;
  
    // These can be made configurable if someone needs to do so
    private long statsDataTTL = DEFAULT_STATS_DATA_TTL;
    private double staleThresholdPercent = DEFAULT_STALE_THRESHOLD;
    private double ageThresholdPercent = DEFAULT_AGE_THRESHOLD;
  
    private Map<T, OffsetDataStats> offsetStatsMap =
            new ConcurrentHashMap<T, OffsetDataStats>();
  
    public OffsetStatsManager() {
      this(DEFAULT_STATS_DATA_TTL);
    }
  
    public OffsetStatsManager(long statsDataTTL) {
      this.statsDataTTL = statsDataTTL;
    }
  
    /**
     * Record that at a given point in time an object key had a given offset.
     * @param key Object to key this data point to
     * @param offset How much of an offset to record
     * @param timestamp The time the offset occured
     */
    public void addOffsetDataPoint(T key, long offset, long timestamp) {
      OffsetDataStats stats = null;
  
      synchronized (offsetStatsMap) {
        if (offsetStatsMap.get(key) == null)
          offsetStatsMap.put(key, new OffsetDataStats());
  
        stats = offsetStatsMap.get(key);
      }
  
      stats.add(new OffsetData(offset, timestamp));
      stats.prune(statsDataTTL);
  
     if (log.isDebugEnabled())
       log.debug("Added offset - key=" + key + ", offset=" + offset +
                 ", time=" + new Date(timestamp) + ", dataCount=" +
                 stats.getOffsetDataList().size());
   }
 
   public double calcAverageRate(T key, long timeIntervalSecs) {
     OffsetDataStats stats = get(key);
     if (stats == null) {
       if (log.isDebugEnabled())
         log.debug("No stats data found key=" + key);
       return -1;
     }
 
     // first get the most recent data point to see if we're stale
     long now = System.currentTimeMillis();
     long mostRecentThreashold = now -
             timeIntervalSecs * (long)(staleThresholdPercent * 1000);
     OffsetData newestOffsetData = stats.mostRecentDataPoint();
 
     if (newestOffsetData == null || newestOffsetData.olderThan(mostRecentThreashold)) {
       if (log.isDebugEnabled())
         log.debug("Stats data too stale for key=" + key);
 
       return -1; // data is too stale
     }
 
     // then get the oldest data point to see if we have enough coverage
     long then = newestOffsetData.getTimestamp() - timeIntervalSecs * 1000L;
     long thenDelta = timeIntervalSecs * (long)(ageThresholdPercent * 1000);
 
     OffsetData oldestOffsetData = null;
     long minDiff = -1;
     long lastDiff = -1;
     for (OffsetData offsetData : stats.getOffsetDataList()) {
       long diff = offsetData.within(then, thenDelta);
 
       if (diff < 0) continue;
 
       if (minDiff == -1 || minDiff < diff) {
         // this is the data point closest to our target then time
         minDiff = diff;
         oldestOffsetData = offsetData;
       }
 
       // optimize so is we got a minDiff, but the diffs are getting worse, then
       // we've found the closet point and we can move on
       if (minDiff != -1 && lastDiff != -1 && diff > lastDiff) {
         break;
       }
 
       lastDiff = diff;
     }
 
     if (oldestOffsetData == null) {
       if (log.isDebugEnabled())
         log.debug("Stats data history too short for key=" + key);
 
       return -1;
     }
 
     return newestOffsetData.averageRate(oldestOffsetData);
   }
 
   public OffsetData oldestDataPoint(T key) {
     OffsetDataStats stats = get(key);
     return stats.oldestDataPoint();
   }
 
   public OffsetData mostRecentDataPoint(T key) {
     OffsetDataStats stats = get(key);
     return stats.mostRecentDataPoint();
   }
 
   /**
    * Remove key from the set of objects that we're tracking stats for.
    * @param key key of stats to be removed
    */
   public void remove(T key) {
     synchronized (offsetStatsMap) {
       offsetStatsMap.remove(key);
     }
   }
 
   /**
    * Remove all objectst that we're tracking stats for.
    */
   public void clear() {
     synchronized (offsetStatsMap) {
       offsetStatsMap.clear();
     }
   }
 
   /**
    * Fetch OffsetDataStats for key.
    * @param key key that stats are to be returned for
    */
   private OffsetDataStats get(T key) {
     synchronized (offsetStatsMap) {
       return offsetStatsMap.get(key);
     }
   }
 
   public class OffsetData {
     private long offset;
     private long timestamp;
 
     private OffsetData(long offset, long timestamp) {
       this.offset = offset;
       this.timestamp = timestamp;
     }
 
     public long getOffset() { return offset; }
     public long getTimestamp() { return timestamp; }
 
     public double averageRate(OffsetData previous) {
       if (previous == null) return -1;
 
       return new Double((offset - previous.getOffset())) /
              new Double((timestamp - previous.getTimestamp())) * 1000L;
     }
 
     public boolean olderThan(long timestamp) {
       return this.timestamp < timestamp;
     }
 
     public long within(long timestamp, long delta) {
 
       long diff = Math.abs(this.timestamp - timestamp);
 
       if (diff < delta) return diff;
       return -1;
     }
   }
 
   private class OffsetDataStats {
     private volatile LinkedList<OffsetData> offsetDataList = new LinkedList<OffsetData>();
 
     public LinkedList<OffsetData> getOffsetDataList() {
       return offsetDataList;
     }
 
     public void add(OffsetData offsetData) {
       synchronized(offsetDataList) {
         offsetDataList.add(offsetData);
       }
     }
 
     public OffsetData oldestDataPoint() {
       synchronized(offsetDataList) {
         return offsetDataList.peekFirst();
       }
     }
 
     public OffsetData mostRecentDataPoint() {
       synchronized(offsetDataList) {
         return offsetDataList.peekLast();
       }
     }
 
     public void prune(long ttl) {
       long cutoff = System.currentTimeMillis() - ttl;
 
       OffsetData data;
       synchronized(offsetDataList) {
         while ((data = offsetDataList.peekFirst()) != null) {
           if (data.getTimestamp() > cutoff) break;
 
           offsetDataList.removeFirst();
         }
       }
     }
   }
 }