/*
    * Copyright 2012 The Netty Project
    *
    * The Netty Project 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.jboss.netty.handler.execution;
  
  import org.jboss.netty.channel.Channel;
  import org.jboss.netty.channel.ChannelEvent;
  import org.jboss.netty.channel.ChannelState;
  import org.jboss.netty.channel.ChannelStateEvent;
  import org.jboss.netty.util.ObjectSizeEstimator;
  import org.jboss.netty.util.internal.ConcurrentIdentityWeakKeyHashMap;
  
  import java.util.IdentityHashMap;
  import java.util.Queue;
  import java.util.Set;
  import java.util.WeakHashMap;
  import java.util.concurrent.ConcurrentLinkedQueue;
  import java.util.concurrent.ConcurrentMap;
  import java.util.concurrent.Executor;
  import java.util.concurrent.ThreadFactory;
  import java.util.concurrent.TimeUnit;
  import java.util.concurrent.atomic.AtomicBoolean;
  
  /**
   * A {@link MemoryAwareThreadPoolExecutor} which makes sure the events from the
   * same {@link Channel} are executed sequentially.
   * <p>
   * <b>NOTE</b>: This thread pool inherits most characteristics of its super
   * type, so please make sure to refer to {@link MemoryAwareThreadPoolExecutor}
   * to understand how it works basically.
   *
   * <h3>Event execution order</h3>
   *
   * For example, let's say there are two executor threads that handle the events
   * from the two channels:
   * <pre>
   *           -------------------------------------&gt; Timeline ------------------------------------&gt;
   *
   * Thread X: --- Channel A (Event A1) --.   .-- Channel B (Event B2) --- Channel B (Event B3) ---&gt;
   *                                      \ /
   *                                       X
   *                                      / \
   * Thread Y: --- Channel B (Event B1) --'   '-- Channel A (Event A2) --- Channel A (Event A3) ---&gt;
   * </pre>
   * As you see, the events from different channels are independent from each
   * other.  That is, an event of Channel B will not be blocked by an event of
   * Channel A and vice versa, unless the thread pool is exhausted.
   * <p>
   * Also, it is guaranteed that the invocation will be made sequentially for the
   * events from the same channel.  For example, the event A2 is never executed
   * before the event A1 is finished.  (Although not recommended, if you want the
   * events from the same channel to be executed simultaneously, please use
   * {@link MemoryAwareThreadPoolExecutor} instead.)
   * <p>
   * However, it is not guaranteed that the invocation will be made by the same
   * thread for the same channel.  The events from the same channel can be
   * executed by different threads.  For example, the Event A2 is executed by the
   * thread Y while the event A1 was executed by the thread X.
   *
   * <h3>Using a different key other than {@link Channel} to maintain event order</h3>
   * <p>
   * {@link OrderedMemoryAwareThreadPoolExecutor} uses a {@link Channel} as a key
   * that is used for maintaining the event execution order, as explained in the
   * previous section.  Alternatively, you can extend it to change its behavior.
   * For example, you can change the key to the remote IP of the peer:
   *
   * <pre>
   * public class RemoteAddressBasedOMATPE extends {@link OrderedMemoryAwareThreadPoolExecutor} {
   *
   *     ... Constructors ...
   *
   *     {@code @Override}
   *     protected ConcurrentMap&lt;Object, Executor&gt; newChildExecutorMap() {
   *         // The default implementation returns a special ConcurrentMap that
   *         // uses identity comparison only (see {@link IdentityHashMap}).
   *         // Because SocketAddress does not work with identity comparison,
   *         // we need to employ more generic implementation.
   *         return new ConcurrentHashMap&lt;Object, Executor&gt;
   *     }
   *
   *     protected Object getChildExecutorKey({@link ChannelEvent} e) {
   *         // Use the IP of the remote peer as a key.
   *         return ((InetSocketAddress) e.getChannel().getRemoteAddress()).getAddress();
   *     }
   *
   *     // Make public so that you can call from anywhere.
   *     public boolean removeChildExecutor(Object key) {
  *         super.removeChildExecutor(key);
  *     }
  * }
  * </pre>
  *
  * Please be very careful of memory leak of the child executor map.  You must
  * call {@link #removeChildExecutor(Object)} when the life cycle of the key
  * ends (e.g. all connections from the same IP were closed.)  Also, please
  * keep in mind that the key can appear again after calling {@link #removeChildExecutor(Object)}
  * (e.g. a new connection could come in from the same old IP after removal.)
  * If in doubt, prune the old unused or stall keys from the child executor map
  * periodically:
  *
  * <pre>
  * RemoteAddressBasedOMATPE executor = ...;
  *
  * on every 3 seconds:
  *
  *   for (Iterator&lt;Object&gt; i = executor.getChildExecutorKeySet().iterator; i.hasNext();) {
  *       InetAddress ip = (InetAddress) i.next();
  *       if (there is no active connection from 'ip' now &&
  *           there has been no incoming connection from 'ip' for last 10 minutes) {
  *           i.remove();
  *       }
  *   }
  * </pre>
  *
  * If the expected maximum number of keys is small and deterministic, you could
  * use a weak key map such as <a href="http://netty.io/s/cwhashmap">ConcurrentWeakHashMap</a>
  * or synchronized {@link WeakHashMap} instead of managing the life cycle of the
  * keys by yourself.
  *
  * @apiviz.landmark
  */
 public class OrderedMemoryAwareThreadPoolExecutor extends
         MemoryAwareThreadPoolExecutor {
 
     // TODO Make OMATPE focus on the case where Channel is the key.
     //      Add a new less-efficient TPE that allows custom key.
 
     protected final ConcurrentMap<Object, Executor> childExecutors = newChildExecutorMap();
 
     /**
      * Creates a new instance.
      *
      * @param corePoolSize          the maximum number of active threads
      * @param maxChannelMemorySize  the maximum total size of the queued events per channel.
      *                              Specify {@code 0} to disable.
      * @param maxTotalMemorySize    the maximum total size of the queued events for this pool
      *                              Specify {@code 0} to disable.
      */
     public OrderedMemoryAwareThreadPoolExecutor(
             int corePoolSize, long maxChannelMemorySize, long maxTotalMemorySize) {
         super(corePoolSize, maxChannelMemorySize, maxTotalMemorySize);
     }
 
     /**
      * Creates a new instance.
      *
      * @param corePoolSize          the maximum number of active threads
      * @param maxChannelMemorySize  the maximum total size of the queued events per channel.
      *                              Specify {@code 0} to disable.
      * @param maxTotalMemorySize    the maximum total size of the queued events for this pool
      *                              Specify {@code 0} to disable.
      * @param keepAliveTime         the amount of time for an inactive thread to shut itself down
      * @param unit                  the {@link TimeUnit} of {@code keepAliveTime}
      */
     public OrderedMemoryAwareThreadPoolExecutor(
             int corePoolSize, long maxChannelMemorySize, long maxTotalMemorySize,
             long keepAliveTime, TimeUnit unit) {
         super(corePoolSize, maxChannelMemorySize, maxTotalMemorySize,
                 keepAliveTime, unit);
     }
 
     /**
      * Creates a new instance.
      *
      * @param corePoolSize          the maximum number of active threads
      * @param maxChannelMemorySize  the maximum total size of the queued events per channel.
      *                              Specify {@code 0} to disable.
      * @param maxTotalMemorySize    the maximum total size of the queued events for this pool
      *                              Specify {@code 0} to disable.
      * @param keepAliveTime         the amount of time for an inactive thread to shut itself down
      * @param unit                  the {@link TimeUnit} of {@code keepAliveTime}
      * @param threadFactory         the {@link ThreadFactory} of this pool
      */
     public OrderedMemoryAwareThreadPoolExecutor(
             int corePoolSize, long maxChannelMemorySize, long maxTotalMemorySize,
             long keepAliveTime, TimeUnit unit, ThreadFactory threadFactory) {
         super(corePoolSize, maxChannelMemorySize, maxTotalMemorySize,
                 keepAliveTime, unit, threadFactory);
     }
 
     /**
      * Creates a new instance.
      *
      * @param corePoolSize          the maximum number of active threads
      * @param maxChannelMemorySize  the maximum total size of the queued events per channel.
      *                              Specify {@code 0} to disable.
      * @param maxTotalMemorySize    the maximum total size of the queued events for this pool
      *                              Specify {@code 0} to disable.
      * @param keepAliveTime         the amount of time for an inactive thread to shut itself down
      * @param unit                  the {@link TimeUnit} of {@code keepAliveTime}
      * @param threadFactory         the {@link ThreadFactory} of this pool
      * @param objectSizeEstimator   the {@link ObjectSizeEstimator} of this pool
      */
     public OrderedMemoryAwareThreadPoolExecutor(
             int corePoolSize, long maxChannelMemorySize, long maxTotalMemorySize,
             long keepAliveTime, TimeUnit unit,
             ObjectSizeEstimator objectSizeEstimator, ThreadFactory threadFactory) {
         super(corePoolSize, maxChannelMemorySize, maxTotalMemorySize,
                 keepAliveTime, unit, objectSizeEstimator, threadFactory);
     }
 
     protected ConcurrentMap<Object, Executor> newChildExecutorMap() {
         return new ConcurrentIdentityWeakKeyHashMap<Object, Executor>();
     }
 
     protected Object getChildExecutorKey(ChannelEvent e) {
         return e.getChannel();
     }
 
     protected Set<Object> getChildExecutorKeySet() {
         return childExecutors.keySet();
     }
 
     protected boolean removeChildExecutor(Object key) {
         // FIXME: Succeed only when there is no task in the ChildExecutor's queue.
         //        Note that it will need locking which might slow down task submission.
         return childExecutors.remove(key) != null;
     }
 
     /**
      * Executes the specified task concurrently while maintaining the event
      * order.
      */
     @Override
     protected void doExecute(Runnable task) {
         if (!(task instanceof ChannelEventRunnable)) {
             doUnorderedExecute(task);
         } else {
             ChannelEventRunnable r = (ChannelEventRunnable) task;
             getChildExecutor(r.getEvent()).execute(task);
         }
     }
 
     protected Executor getChildExecutor(ChannelEvent e) {
         Object key = getChildExecutorKey(e);
         Executor executor = childExecutors.get(key);
         if (executor == null) {
             executor = new ChildExecutor();
             Executor oldExecutor = childExecutors.putIfAbsent(key, executor);
             if (oldExecutor != null) {
                 executor = oldExecutor;
             }
         }
 
         // Remove the entry when the channel closes.
         if (e instanceof ChannelStateEvent) {
             Channel channel = e.getChannel();
             ChannelStateEvent se = (ChannelStateEvent) e;
             if (se.getState() == ChannelState.OPEN &&
                 !channel.isOpen()) {
                 removeChildExecutor(key);
             }
         }
         return executor;
     }
 
     @Override
     protected boolean shouldCount(Runnable task) {
         if (task instanceof ChildExecutor) {
             return false;
         }
 
         return super.shouldCount(task);
     }
 
     void onAfterExecute(Runnable r, Throwable t) {
         afterExecute(r, t);
     }
 
     protected final class ChildExecutor implements Executor, Runnable {
         private final Queue<Runnable> tasks = new ConcurrentLinkedQueue<Runnable>();
         private final AtomicBoolean isRunning = new AtomicBoolean();
 
         public void execute(Runnable command) {
             // TODO: What todo if the add return false ?
             tasks.add(command);
 
             if (!isRunning.get()) {
                 doUnorderedExecute(this);
             }
         }
 
         public void run() {
             boolean acquired;
 
             // check if its already running by using CAS. If so just return here. So in the worst case the thread
             // is executed and do nothing
             if (isRunning.compareAndSet(false, true)) {
                 acquired = true;
                 try {
                     Thread thread = Thread.currentThread();
                     for (;;) {
                         final Runnable task = tasks.poll();
                         // if the task is null we should exit the loop
                         if (task == null) {
                             break;
                         }
 
                         boolean ran = false;
                         beforeExecute(thread, task);
                         try {
                             task.run();
                             ran = true;
                             onAfterExecute(task, null);
                         } catch (RuntimeException e) {
                             if (!ran) {
                                 onAfterExecute(task, e);
                             }
                             throw e;
                         }
                     }
                 } finally {
                     // set it back to not running
                     isRunning.set(false);
                 }
 
                 if (acquired && !isRunning.get() && tasks.peek() != null) {
                     doUnorderedExecute(this);
                 }
             }
         }
     }
 }