hudstatistics.h

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/***************************************************************************
 *   Copyright (C) 2005-2011 LpzRobots development team                    *
 *    Georg Martius  <georg dot martius at web dot de>                     *
 *    Frank Guettler <guettler at informatik dot uni-leipzig dot de        *
 *    Frank Hesse    <frank at nld dot ds dot mpg dot de>                  *
 *    Ralf Der       <ralfder at mis dot mpg dot de>                       *
 *                                                                         *
 *   This program 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.                                   *
 *                                                                         *
 *   This program 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 this program; if not, write to the                         *
 *   Free Software Foundation, Inc.,                                       *
 *   59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             *
 *                                                                         *
 ***************************************************************************/
#ifndef __HUD_STATISTICS_H
#define __HUD_STATISTICS_H

#include <selforg/statistictools.h>

#include "color.h"

/* forward declaration block */
namespace osgText {
class Text;
class Font;
}

namespace osg {
class Geode;
}

/* end of forward declaration */

namespace lpzrobots {

/**
 * manages all the stuff displaying statistics on the graphics window.
 * This is a experimental version, so do not to be afraid changing this crazy
 * code.
 *
 * This class uses the implementation of the class StatisticTools, which is
 * generalized to make nice statistics. Instead of passing the values to the
 * guilogger (INSPECTABLE interface), we simply diplay this values on the graphics
 * window.
 *
 * So how it works:
 * - overwriting the method getMeasure gives us the ability to create the needed text
 *   object, then storing it in a class named WindowStatistic
 *   (which is stored in the windowStatisticList).
 */
class HUDStatisticsManager : public Callbackable {

public:
  /**
   * Nested class WindowStatistic, which puts the measure and the graphics text together.
   */
  class WindowStatistic {
  public:

    WindowStatistic(AbstractMeasure* measure, osgText::Text* text) : measure(measure),
      text(text) {}

    virtual ~WindowStatistic() {}

    virtual AbstractMeasure* getMeasure() { return measure; }

    virtual osgText::Text* getText() { return text; }

  private:
    AbstractMeasure* measure;
    osgText::Text* text;
  };

public:
  /**
   * creates the HUDStatisticsManager, normally done by class Base.
   * @param geode this is the graphical node at wich the text objects are hooked in.
   */
  HUDStatisticsManager(osg::Geode* geode, osgText::Font* font, int ypos);

  virtual ~HUDStatisticsManager();

          /**
         * adds a variable to observe (on the window) and measure the value
         * @param observedValue    the value to observe.
         * @param measureName      the name of the measured value
         * @param mode             the mode of measure
         * @param stepSpan         in most cases the stepSpan is important to get
         * the measured value of a number of steps, like AVG:
         * if stepSpan = 0, AVG is calculated over all steps
         * if stepSpan = n, AVG is calculated over the LAST n steps
         * The same counts for all the other MeasureModes.
         * @param additionalParam  is used for example for mode PEAK, the param is the limit value,
         * all values minus limit are displayed, values below the limit are set to 0.
           * In CONV mode (test the convergence), this value is the epsilon criteria.
         * @return the object StatisticMeasure. Use addMeasure(...) instead of getMeasure(...) to
           * obtain the value adress of the calculated statistic.
           * @see StatisticTools
           * @see StatisticMeasure
         */
  virtual StatisticMeasure* getMeasure( double& observedValue, const char* measureName, MeasureMode mode, long stepSpan, double additionalParam =0);

          /**
         * adds a variable to observe (on the window) and measure the value
         * @param observedValue    the value to observe.
         * @param measureName      the name of the measured value
         * @param mode             the mode of measure
         * @param stepSpan         in most cases the stepSpan is important to get
         * the measured value of a number of steps, like AVG:
         * if stepSpan = 0, AVG is calculated over all steps
         * if stepSpan = n, AVG is calculated over the LAST n steps
         * The same counts for all the other MeasureModes.
         * @param additionalParam  is used for example for mode PEAK, the param is the limit value,
         * all values minus limit are displayed, values below the limit are set to 0.
           * In CONV mode (test the convergence), this value is the epsilon criteria.
         * @return the object StatisticMeasure. Use addMeasure(...) instead of getMeasure(...) to
           * obtain the value adress of the calculated statistic.
           * @see StatisticTools
           * @see StatisticMeasure
         */
  virtual double& addMeasure( double& observedValue, const char* measureName, MeasureMode mode, long stepSpan, double additionalParam =0);

    /**
   * You can add another abstract measure you like. in some cases (e.g. complex
   * measures) it is better to let the measure decide how it likes to be initialized
   * @param measure the measure to add
   */
  virtual double& addMeasure(AbstractMeasure* measure);

  /**
   * You can add another abstract measure you like. in some cases (e.g. complex
   * measures) it is better to let the measure decide how it likes to be initialized
   * With this method you can add a list of AbstractMeasures.
   * @param measureList the list of measures to add
   */
  virtual double& addMeasureList(std::list<AbstractMeasure*> measureList);

    /**
   * You can add another abstract measure you like. in some cases (e.g. complex
   * measures) it is better to let the measure decide how it likes to be initialized
   * With this method you can add a list of AbstractMeasures.
   * @param measureList the list of measures to add
   */
  virtual double& addMeasureList(std::list<ComplexMeasure*> measureList);


      /**
   * You can add another abstract measure you like. in some cases (e.g. complex
   * measures) it is better to let the measure decide how it likes to be initialized
   * With this method you can add a list of AbstractMeasures.
   * @param measureList the list of measures to add
   */
  virtual double& addMeasureList(std::list<StatisticMeasure*> measureList);


          /**
         * starts the measure at a specific time. This is useful if there are
         * values that have to be ignored at simulation start.
         * @param step number of steps (normally simsteps) to wait for beginning the measures
         */
  virtual void beginMeasureAt(long step) { statTool->beginMeasureAt(step);}

  /**
   * Tells you wether the measures have already been started.
   */
  virtual bool measureStarted() { return statTool->measureStarted(); }


        /**
         * CALLBACKABLE INTERFACE
         *
         *        this method is invoked when a callback is done from the class where this
         * class is for callback registered, it is overwritten
         */
  virtual void doOnCallBack(BackCaller* source, BackCaller::CallbackableType type = BackCaller::DEFAULT_CALLBACKABLE_TYPE);


  virtual StatisticTools* getStatisticTools() { return statTool; }

  /** searches for the measure with the given name and returns it windowstatistics
      (measure and graphics together)
      @return 0 if not measure was found
   */
  virtual WindowStatistic* getMeasureWS(const std::string& measureName);


  virtual void setColor(const Color& color){ textColor = color;}
  virtual void setFontsize(int size){fontsize = size, yOffset = 1.2*size;}

protected:

/// the struct list which holds the measures and the appropiate text
  std::list<WindowStatistic*> windowStatisticList;

  StatisticTools* statTool;

  // position of first graphical text
  float xInitPosition;
  float yInitPosition;
  float zInitPosition;
  float yOffset;

  // graphical node
  osg::Geode* geode;

  // default text properties
  osgText::Font* font;
  Color textColor;
  int fontsize;

};


}

#endif