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// **************************************************************************
// * This file is part of the FreeFileSync project. It is distributed under *
// * GNU General Public License: http://www.gnu.org/licenses/gpl.html *
// * Copyright (C) 2008-2010 ZenJu (zhnmju123 AT gmx.de) *
// **************************************************************************
//
#include "statistics.h"
#include <wx/ffile.h>
#include "../shared/globalFunctions.h"
#include "statusHandler.h"
//#include "../algorithm.h"
#include "../shared/util.h"
#include <wx/intl.h>
#include <limits>
#include <wx/stopwatch.h>
RetrieveStatistics::RetrieveStatistics() :
timer(new wxStopWatch) {}
RetrieveStatistics::~RetrieveStatistics()
{
//keep non-inline destructor for std::auto_ptr to work with forward declaration
//write statistics to a file
wxFFile outputFile(wxT("statistics.dat"), wxT("w"));
outputFile.Write(wxT("Time(ms);Objects;Data\n"));
for (std::vector<statEntry>::const_iterator i = data.begin(); i != data.end(); ++i)
{
using globalFunctions::numberToString;
outputFile.Write(numberToString(i->time));
outputFile.Write(wxT(";"));
outputFile.Write(numberToString(i->objects));
outputFile.Write(wxT(";"));
outputFile.Write(numberToString(i->value));
outputFile.Write(wxT("\n"));
}
}
void RetrieveStatistics::writeEntry(const double value, const int objects)
{
statEntry newEntry;
newEntry.value = value;
newEntry.objects = objects;
newEntry.time = timer->Time();
data.push_back(newEntry);
}
//########################################################################################
inline
bool isNull(double number)
{
return globalFunctions::abs(number) < std::numeric_limits<double>::epsilon();
}
inline
wxString Statistics::formatRemainingTime(double timeInMs) const
{
#ifndef _MSC_VER
#warning adapt units "%x sec"
#endif
bool unitSec = true;
double remainingTime = timeInMs / 1000;
wxString unit = _(" sec");
if (remainingTime > 55)
{
unitSec = false;
remainingTime /= 60;
unit = _(" min");
if (remainingTime > 59)
{
remainingTime /= 60;
unit = _(" hour(s)");
if (remainingTime > 23)
{
remainingTime /= 24;
unit = _(" day(s)");
}
}
}
int formattedTime = globalFunctions::round(remainingTime);
//reduce precision to 5 seconds
if (unitSec && formattedTime % 5 != 0)
formattedTime += 5 - formattedTime % 5; //"ceiling"
//avoid "jumping back and forth" when fluctuating around .5
if (remainingTimeLast < formattedTime)
{
if (unitSec)
{
formattedTime = globalFunctions::round(remainingTime);
formattedTime -= formattedTime % 5; //"floor"
}
else
formattedTime = int(remainingTime); //"floor"
}
remainingTimeLast = formattedTime;
return globalFunctions::numberToString(formattedTime) + unit;
//+ wxT("(") + globalFunctions::numberToWxString(globalFunctions::round(timeInMs / 1000)) + wxT(")");
}
Statistics::Statistics(const int totalObjectCount,
const double totalDataAmount,
const unsigned windowSizeRemainingTime,
const unsigned windowSizeBytesPerSecond) :
objectsTotal(totalObjectCount),
dataTotal(totalDataAmount),
windowSizeRemTime(windowSizeRemainingTime),
windowSizeBPS(windowSizeBytesPerSecond),
windowMax(std::max(windowSizeRemainingTime, windowSizeBytesPerSecond)),
remainingTimeLast(std::numeric_limits<int>::max()), //something "big"
timer(new wxStopWatch) {}
Statistics::~Statistics()
{
delete timer;
}
void Statistics::addMeasurement(const int objectsCurrent, const double dataCurrent)
{
record newEntry;
newEntry.objects = objectsCurrent;
newEntry.data = dataCurrent;
newEntry.time = timer->Time();
//insert new record
measurements.push_back(newEntry);
//remove all records earlier than "currentTime - windowSize"
const long newBegin = newEntry.time - windowMax;
while (!measurements.empty() && measurements.front().time < newBegin)
measurements.pop_front();
}
wxString Statistics::getRemainingTime() const
{
if (!measurements.empty())
{
//find start of records "window"
const record backElement = measurements.back();
const long frontTime = backElement.time - windowSizeRemTime;
std::list<record>::const_iterator frontElement = measurements.end();
do
{
--frontElement;
}
while (frontElement != measurements.begin() && frontElement->time > frontTime);
const double timeDelta = backElement.time - frontElement->time;
const double dataDelta = backElement.data - frontElement->data;
const double dataRemaining = dataTotal - backElement.data;
if (!isNull(dataDelta))
return formatRemainingTime(dataRemaining * timeDelta / dataDelta);
}
return wxT("-"); //fallback
}
wxString Statistics::getBytesPerSecond() const
{
if (!measurements.empty())
{
//find start of records "window"
const long frontTime = measurements.back().time - windowSizeBPS;
std::list<record>::const_iterator frontElement = measurements.end();
do
{
--frontElement;
}
while (frontElement != measurements.begin() && frontElement->time > frontTime);
const double timeDelta = measurements.back().time - frontElement->time;
const double dataDelta = measurements.back().data - frontElement->data;
if (!isNull(timeDelta))
return FreeFileSync::formatFilesizeToShortString(dataDelta * 1000 / timeDelta) + _("/sec");
}
return wxT("-"); //fallback
}
void Statistics::pauseTimer()
{
timer->Pause();
}
void Statistics::resumeTimer()
{
timer->Resume();
}
/*
class for calculation of remaining time:
----------------------------------------
"filesize |-> time" is an affine linear function f(x) = z_1 + z_2 x
For given n measurements, sizes x_0, ..., x_n and times f_0, ..., f_n, the function f (as a polynom of degree 1) can be lineary approximated by
z_1 = (r - s * q / p) / ((n + 1) - s * s / p)
z_2 = (q - s * z_1) / p = (r - (n + 1) z_1) / s
with
p := x_0^2 + ... + x_n^2
q := f_0 x_0 + ... + f_n x_n
r := f_0 + ... + f_n
s := x_0 + ... + x_n
=> the time to process N files with amount of data D is: N * z_1 + D * z_2
Problem:
--------
Times f_0, ..., f_n can be very small so that precision of the PC clock is poor.
=> Times have to be accumulated to enhance precision:
Copying of m files with sizes x_i and times f_i (i = 1, ..., m) takes sum_i f(x_i) := m * z_1 + z_2 * sum x_i = sum f_i
With X defined as the accumulated sizes and F the accumulated times this gives: (in theory...)
m * z_1 + z_2 * X = F <=>
z_1 + z_2 * X / m = F / m
=> we obtain a new (artificial) measurement with size X / m and time F / m to be used in the linear approximation above
Statistics::Statistics(const int totalObjectCount, const double totalDataAmount, const unsigned recordCount) :
objectsTotal(totalObjectCount),
dataTotal(totalDataAmount),
recordsMax(recordCount),
objectsLast(0),
dataLast(0),
timeLast(wxGetLocalTimeMillis()),
z1_current(0),
z2_current(0),
dummyRecordPresent(false) {}
wxString Statistics::getRemainingTime(const int objectsCurrent, const double dataCurrent)
{
//add new measurement point
const int m = objectsCurrent - objectsLast;
if (m != 0)
{
objectsLast = objectsCurrent;
const double X = dataCurrent - dataLast;
dataLast = dataCurrent;
const wxLongLong timeCurrent = wxGetLocalTimeMillis();
const double F = (timeCurrent - timeLast).ToDouble();
timeLast = timeCurrent;
record newEntry;
newEntry.x_i = X / m;
newEntry.f_i = F / m;
//remove dummy record
if (dummyRecordPresent)
{
measurements.pop_back();
dummyRecordPresent = false;
}
//insert new record
measurements.push_back(newEntry);
if (measurements.size() > recordsMax)
measurements.pop_front();
}
else //dataCurrent increased without processing new objects:
{ //modify last measurement until m != 0
const double X = dataCurrent - dataLast; //do not set dataLast, timeLast variables here, but write dummy record instead
if (!isNull(X))
{
const wxLongLong timeCurrent = wxGetLocalTimeMillis();
const double F = (timeCurrent - timeLast).ToDouble();
record modifyEntry;
modifyEntry.x_i = X;
modifyEntry.f_i = F;
//insert dummy record
if (!dummyRecordPresent)
{
measurements.push_back(modifyEntry);
if (measurements.size() > recordsMax)
measurements.pop_front();
dummyRecordPresent = true;
}
else //modify dummy record
measurements.back() = modifyEntry;
}
}
//calculate remaining time based on stored measurement points
double p = 0;
double q = 0;
double r = 0;
double s = 0;
for (std::list<record>::const_iterator i = measurements.begin(); i != measurements.end(); ++i)
{
const double x_i = i->x_i;
const double f_i = i->f_i;
p += x_i * x_i;
q += f_i * x_i;
r += f_i;
s += x_i;
}
if (!isNull(p))
{
const double n = measurements.size();
const double tmp = (n - s * s / p);
if (!isNull(tmp) && !isNull(s))
{
const double z1 = (r - s * q / p) / tmp;
const double z2 = (r - n * z1) / s; //not (n + 1) here, since n already is the number of measurements
//refresh current values for z1, z2
z1_current = z1;
z2_current = z2;
}
}
return formatRemainingTime((objectsTotal - objectsCurrent) * z1_current + (dataTotal - dataCurrent) * z2_current);
}
*/
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