/** * Context.java * Copyright 2009 by Michael Peter Christen, Frankfurt a. M., Germany * First published 03.12.2009 at http://yacy.net * * $LastChangedDate$ * $LastChangedRevision$ * $LastChangedBy$ * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation; either * version 2.1 of the License, or (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this program in the file lgpl21.txt * If not, see . */ package net.yacy.ai.greedy; import java.util.List; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.PriorityBlockingQueue; import java.util.concurrent.Semaphore; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicInteger; public class Context< SpecificRole extends Role, SpecificFinding extends Finding, SpecificModel extends Model >{ private static final Object PRESENT = ""; private final Goal goal; private final SpecificModel initialModel; private final SpecificRole initialRole; private final PriorityBlockingQueue> result; private final ConcurrentHashMap models; // caches all observed models for a double-check private final ConcurrentHashMap bestMove; private final AtomicInteger instances; private final long timeoutForSnapshot; private final Semaphore termination; private final boolean feedAssetCache, useAssetCache; private long startTime; private boolean fullfilled; protected Context( Goal goal, SpecificModel initialModel, long timeoutForSnapshot, boolean feedAssetCache, boolean useAssetCache) { this.goal = goal; this.initialModel = initialModel; this.initialRole = initialModel.currentRole(); this.models = new ConcurrentHashMap(); this.result = new PriorityBlockingQueue>(); this.bestMove = new ConcurrentHashMap(); this.instances = new AtomicInteger(0); this.timeoutForSnapshot = timeoutForSnapshot; this.startTime = System.currentTimeMillis(); this.fullfilled = false; this.termination = new Semaphore(0); this.feedAssetCache = feedAssetCache; this.useAssetCache = useAssetCache; } public int getInstanceCount() { return this.instances.get(); } public void incInstances() { this.instances.incrementAndGet(); } public int decInstances() { return this.instances.decrementAndGet(); } public boolean setBestMove(SpecificRole role, int ranking) { Integer b = this.bestMove.get(role); if (b == null) { this.bestMove.put(role, ranking); System.out.println("first move"); return true; } if (b.intValue() < ranking) { System.out.println("best next move"); this.bestMove.put(role, ranking); return true; } return false; } public int getBestMove(SpecificRole role) { Integer b = this.bestMove.get(role); if (b == null) return Integer.MIN_VALUE; return b.intValue(); } public void addModel(SpecificModel model) { if (model.toString().equals("[],[3, 2, 1],[]")) { System.out.println("target"); } this.models.put(model, PRESENT); } public Goal getGoal() { return this.goal; } public SpecificModel getInitialModel() { return this.initialModel; } public boolean isKnownModel(SpecificModel model) { return this.models.containsKey(model); } public int getKnownModelsCount() { return this.models.size(); } public void registerResult(Agent agent, SpecificFinding finding) { assert agent != null; assert agent.getFinding() != null; assert agent.getFinding().getRole() != null; assert finding != null; this.result.offer(new Challenge(agent, finding)); } public SpecificRole initialRole() { return this.initialRole; } /** * return one of the results from the problem solving computation. * if there is no result available, then return null. * a null result shows that there is either no solution at all * or it was not possible to find one within the given time-out frame * @return e challenge as a result or null if there is no result. */ public Challenge takeResult() { try { while (!this.result.isEmpty()) { Challenge resultChallenge = this.result.take(); Agent resultAgent = resultChallenge.getAgent(); if (resultAgent.isPrunedByTerminationInHistory(this.initialRole())) continue; return resultChallenge; } // if this state is reached then all possible findings will cause a lost situation return null; } catch (InterruptedException e) { return null; } } public boolean hasNoResults() { return this.result.isEmpty(); } public int countResults() { return this.result.size(); } public void reset() { this.startTime = System.currentTimeMillis(); this.termination.drainPermits(); } public boolean feedAssetCache() { return this.feedAssetCache; } public boolean useAssetCache() { return this.useAssetCache; } public void announceCompletion() { this.fullfilled = true; this.termination.release(); } public boolean isCompleted() { if (this.fullfilled) return true; //System.out.println("runtime = " + runtime); //boolean expired = System.currentTimeMillis() - this.startTime > this.timeoutForSnapshot; //if (expired) this.termination.release(); //return expired; return false; } public boolean isSnapshotTimeout() { if (this.fullfilled) return true; boolean expired = System.currentTimeMillis() - this.startTime > this.timeoutForSnapshot; return expired; } public void awaitTermination(long pauseAfterAquire, boolean announceCompletionAfterTimeOut) { try { if (this.termination.tryAcquire(this.timeoutForSnapshot, TimeUnit.MILLISECONDS)) { Thread.sleep(pauseAfterAquire); } else { System.out.println("timed-out termination"); } } catch (InterruptedException e) {} if (announceCompletionAfterTimeOut) announceCompletion(); } public void printReport(int count) { System.out.println("==== " + this.getKnownModelsCount() + " models computed"); Challenge resultChallenge; Agent resultAgent; SpecificFinding resultFinding; int i = 0; while (count > 0) { if (this.countResults() == 0) break; resultChallenge = this.takeResult(); resultAgent = resultChallenge.getAgent(); resultFinding = resultChallenge.getFinding(); List p = resultAgent.listPrunedByTerminationInHistory(); //if (p != null) continue; //if (resultAgent.isPrunedByTerminationInHistory(resultAgent.initialModel.currentRole())) continue; System.out.println("==== result " + i++ + "/" + this.countResults()); Finding[] moves = resultAgent.getFindings(); System.out.print("==== moves: "); if (moves == null) System.out.println("null"); else { for (int j = 0; j < moves.length; j++) {System.out.print(moves[j]); if (j < moves.length - 1) System.out.print(", "); } } System.out.println(); System.out.println("==== first move: " + resultFinding); assert resultFinding.getPriority() == resultAgent.getRanking(this.initialRole()); System.out.println("==== ranking: " + resultFinding.getPriority()); SpecificRole winner = resultAgent.getModel().isTermination(); if (winner != null) System.out.println("==== the winner is " + winner.toString()); if (p == null) { System.out.println("==== pruning is null"); } else { System.out.print("==== fail-moves are "); for (SpecificFinding f: p) System.out.print(f + " "); System.out.println(""); } System.out.println(resultAgent.getModel().toString()); count--; } } }