Package javaff.scheduling

Source Code of javaff.scheduling.JavaFFScheduler

/************************************************************************
* Strathclyde Planning Group,
* Department of Computer and Information Sciences,
* University of Strathclyde, Glasgow, UK
* http://planning.cis.strath.ac.uk/
*
* Copyright 2007, Keith Halsey
* Copyright 2008, Andrew Coles and Amanda Smith
*
* (Questions/bug reports now to be sent to Andrew Coles)
*
* This file is part of JavaFF.
*
* JavaFF is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 2 of the License, or
* (at your option) any later version.
*
* JavaFF 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with JavaFF.  If not, see <http://www.gnu.org/licenses/>.
*
************************************************************************/

package javaff.scheduling;

import javaff.data.TotalOrderPlan;
import javaff.data.PartialOrderPlan;
import javaff.data.TimeStampedPlan;
import javaff.data.GroundProblem;
import javaff.data.Action;
import javaff.data.Metric;
import javaff.data.metric.BinaryComparator;
import javaff.data.metric.ResourceOperator;
import javaff.data.metric.NumberFunction;
import javaff.data.metric.NamedFunction;
import javaff.data.metric.MetricSymbolStore;
import javaff.data.metric.TotalTimeFunction;
import javaff.data.temporal.StartInstantAction;
import javaff.planning.TemporalMetricState;

import java.util.Iterator;
import java.util.List;
import java.util.HashSet;
import java.util.Map;
import java.util.Hashtable;
import java.math.BigDecimal;

public class JavaFFScheduler implements Scheduler
{
  protected GroundProblem problem;
 
  public JavaFFScheduler(GroundProblem p)
    {
    problem = p;
  }

  public TimeStampedPlan schedule(TotalOrderPlan top)
  {
    PartialOrderPlan pop = GreedyPartialOrderLifter.lift(top, problem);

    MatrixSTN stn = new MatrixSTN(top);

    stn.addConstraints(pop.getTemporalConstraints());


    //Sort out the Durations
    Map states = new Hashtable(); //Maps (Actions => states (which the actions are applied in))
    Iterator ait = top.getActions().iterator();
    TemporalMetricState state = problem.getTemporalMetricInitialState();
    while (ait.hasNext())
    {
      Action a = (Action) ait.next();
      if (a instanceof StartInstantAction)
      {
        StartInstantAction sia = (StartInstantAction) a;
        List l = TemporalConstraint.getBounds(sia, sia.getSibling(), sia.parent.getMaxDuration(state), sia.parent.getMinDuration(state));
        stn.addConstraints(new HashSet(l));
      }
      states.put(a, state);
      state = (TemporalMetricState) state.apply(a);
    }

   
   
    stn.consistent();

    // sort out the resources
    Map graphs = new Hashtable(); //Maps (NamedResources => PrecedenceGraphs)
    ait = top.getActions().iterator();
    while (ait.hasNext())
    {
      Action a = (Action) ait.next();
     
      Iterator bcit = a.getComparators().iterator();
      while (bcit.hasNext())
      {
        //WARNING WARNING WARNING - assumes comparators are of the form (NamedFunction </>/<=/>= StaticFunction)
                           BinaryComparator bc = (BinaryComparator) bcit.next();
        NamedFunction res = (NamedFunction) bc.first;
        PrecedenceResourceGraph prg = (PrecedenceResourceGraph) graphs.get(res);
        if (prg == null)
        {
          prg = new PrecedenceResourceGraph(stn);
          graphs.put(res,prg);
        }
        state = (TemporalMetricState) states.get(a);
        BigDecimal d = bc.second.getValue(state);
        prg.addCondition(new BinaryComparator( bc.type, res, new NumberFunction(d)), a);
      }

      Iterator roit = a.getOperators().iterator();
      while (roit.hasNext())
      {
        ResourceOperator ro = (ResourceOperator) roit.next();
        NamedFunction res = (NamedFunction) ro.resource;
        PrecedenceResourceGraph prg = (PrecedenceResourceGraph) graphs.get(res);
        if (prg == null)
        {
          prg = new PrecedenceResourceGraph(stn);
          graphs.put(res,prg);
        }
        prg.addOperator(new ResourceOperator( ro.type, res, ro.change.makeOnlyDurationDependent(state)), a);
      }

    }


    Iterator git = graphs.keySet().iterator();

    while (git.hasNext())
    {
      NamedFunction nf = (NamedFunction) git.next();
      PrecedenceResourceGraph prg = (PrecedenceResourceGraph) graphs.get(nf);
      prg.addOperator(new ResourceOperator(MetricSymbolStore.INCREASE, nf, new NumberFunction(nf.getValue(problem.getTemporalMetricInitialState()))), stn.START);
      boolean changesMade = true;
      while (changesMade)
      {
        changesMade = prg.meetConditions();
        stn.constrain();
      }
      changesMade = true;
      while (changesMade)
      {
        changesMade = prg.limitBounds();
        stn.constrain();
      }
     
    }

   
    Metric m = problem.metric;
    if (m != null && m.func instanceof NamedFunction && !(m.func instanceof TotalTimeFunction))
    {
      PrecedenceResourceGraph prg = (PrecedenceResourceGraph) graphs.get((NamedFunction) m.func);
      if (m.type == Metric.MAXIMIZE) prg.maximize();
      else if (m.type == Metric.MINIMIZE) prg.minimize();
    }

    stn.constrain();

    stn.minimizeTime();
    stn.minimizeDuration();
    stn.constrain();
   
    TimeStampedPlan p = stn.getTimes();

    return p;
  }


}
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