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A Java API for Meta-CSP based reasoning
/*******************************************************************************
* Copyright (c) 2010-2013 Federico Pecora
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
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*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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package org.metacsp.examples.meta;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.Vector;
import org.metacsp.dispatching.DispatchingFunction;
import org.metacsp.meta.simplePlanner.ProactivePlanningDomain;
import org.metacsp.meta.simplePlanner.SimpleDomain;
import org.metacsp.meta.simplePlanner.SimplePlanner;
import org.metacsp.meta.simplePlanner.SimplePlannerInferenceCallback;
import org.metacsp.multi.activity.SymbolicVariableActivity;
import org.metacsp.multi.activity.ActivityNetworkSolver;
import org.metacsp.sensing.ConstraintNetworkAnimator;
import org.metacsp.sensing.Sensor;
import org.metacsp.time.Bounds;
import org.metacsp.utility.timelinePlotting.TimelinePublisher;
import org.metacsp.utility.timelinePlotting.TimelineVisualizer;
public class TestProactivePlanningAndDispatching {
public static void main(String[] args) {
//Create planner
SimplePlanner planner = new SimplePlanner(0,100000,0);
//MetaCSPLogging.setLevel(planner.getClass(), Level.FINEST);
SimpleDomain.parseDomain(planner, "domains/testProactivePlanningLucia.ddl", ProactivePlanningDomain.class);
ActivityNetworkSolver ans = (ActivityNetworkSolver)planner.getConstraintSolvers()[0];
SimplePlannerInferenceCallback cb = new SimplePlannerInferenceCallback(planner);
ConstraintNetworkAnimator animator = new ConstraintNetworkAnimator(ans, 1000, cb);
final Vector executingActs = new Vector();
DispatchingFunction df = new DispatchingFunction("Robot") {
@Override
public void dispatch(SymbolicVariableActivity act) {
System.out.println(">>>>>>>>>>>>>> Dispatched " + act);
executingActs.add(act);
}
@Override
public boolean skip(SymbolicVariableActivity act) {
// TODO Auto-generated method stub
return false;
}
};
animator.addDispatchingFunctions(ans, df);
Sensor sensorA = new Sensor("Location", animator);
Sensor sensorB = new Sensor("Stove", animator);
sensorA.registerSensorTrace("sensorTraces/location.st");
sensorB.registerSensorTrace("sensorTraces/stove.st");
//TimelinePublisher tp = new TimelinePublisher((ActivityNetworkSolver)planner.getConstraintSolvers()[0], new Bounds(0,60000), true, "Time", "Location", "Stove", "Human", "Robot");
TimelinePublisher tp = new TimelinePublisher(planner.getConstraintSolvers()[0].getConstraintNetwork(), new Bounds(0,60000), true, "Time", "Location", "Stove", "Human", "Robot");
TimelineVisualizer tv = new TimelineVisualizer(tp);
tv.startAutomaticUpdate(1000);
while (true) {
System.out.println("Executing activities (press to refresh list):");
for (int i = 0; i < executingActs.size(); i++) System.out.println(i + ". " + executingActs.elementAt(i));
System.out.println("--");
System.out.print("Please enter activity to finish: ");
String input = "";
BufferedReader br = new BufferedReader(new InputStreamReader(System.in));
try { input = br.readLine(); }
catch (IOException e) { e.printStackTrace(); }
if (!input.trim().equals("")) {
try {
df.finish(executingActs.elementAt(Integer.parseInt(input)));
executingActs.remove(Integer.parseInt(input));
}
catch (ArrayIndexOutOfBoundsException e1) { /* Ignore unknown activity */ }
}
}
}
}