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# -*- coding: utf-8 -*-
#Copyright (C) Fiz Vazquez vud1@sindominio.net
#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.
import calendar
import datetime
from pytrainer.timegraph import TimeGraph
from pytrainer.lib.localization import locale_str
class YearGraph(TimeGraph):
value_params = [
(_("month"),_("Distance (km)"),_("Monthly Distance"),"y"),
(_("month"),_("Time (hours)"), _("Monthly Time"),"b"),
(_("month"),_("Average Heart Rate (bpm)"), _("Monthly Average Heart Rate"),"r"),
(_("month"),_("Average Speed (km/h)"), _("Monthly Average Speed"),"g"),
(_("month"),_("Calories"), _("Monthly Calories"),"b"),
]
def __init__(self, sports, vbox = None, window = None, combovalue = None, combovalue2 = None, main = None):
TimeGraph.__init__(self, sports, vbox=vbox, window=window, main=main)
self.combovalue = combovalue
self.combovalue2 = combovalue2
self.KEY_FORMAT = "%m"
def drawgraph(self,values):
TimeGraph.drawgraph(self, values, x_func=lambda x: ["%02d" % m for m in range(1,13)])
def drawgraph2(self,values):
value_selected = self.combovalue.get_active()
value_selected2 = self.combovalue2.get_active()
if value_selected < 0:
self.combovalue.set_active(0)
value_selected = 0
monthsnumber,xlabel,ylabel,title,color = self.get_value_params(value_selected)
xvalues,yvalues = self.get_values(values,value_selected,monthsnumber)
xval.append(xvalues)
yval.append(yvalues)
if value_selected2 < 0:
xlab.append("")
else:
xlab.append(xlabel)
ylab.append(ylabel)
tit.append(title)
col.append(color)
if value_selected2 < 0:
self.combovalue2.set_active(0)
value_selected2 = 0
if value_selected2 > 0:
value_selected2 = value_selected2-1
daysmonth,xlabel,ylabel,title,color = self.get_value_params(value_selected2)
xvalues,yvalues = self.get_values(values,value_selected2,daysmonth)
xval.append(xvalues)
yval.append(yvalues)
xlab.append(xlabel)
ylab.append(ylabel)
tit.append(title)
col.append(color)
self.drawarea.stadistics("bars",xval,yval,xlab,ylab,tit,col)
def get_values2(self,values,value_selected,monthsnumber):
#hacemos una relacion entre el value_selected y los values
conv = {
0: 1, #value 0 es kilometros (1)
1: 2, #value 1 es tiempo (2)
2: 3, #value 2 es pulsaciones(3)
3: 5, #value 3 es media(5)
4: 6 #value 4 es calorias(6)
}
list_values = {}
list_average = {}
tm_total = {}
for i in range(1,monthsnumber+1):
list_values[i]=0
list_average[i]=0
tm_total[i] = 0
value_sel = conv[value_selected]
for value in values:
date = value[0]
try:
year,month,day = date.year, date.month, date.day
except AttributeError:
year,month,day = date.split("-")
month = int(month)
#si la opcion es tiempo lo pasamos a horas / if the option is time we passed it to hours
if (value_sel == 2):
graph_value = self.getFloatValue(value[value_sel])/3600
else:
graph_value = self.getFloatValue(value[value_sel])
#si es una opcion de suma de absolutos / if it is an option of sum of absolute
if ((value_selected == 0) or (value_selected==1) or (value_selected==4)):
list_values[int(month)] += graph_value
#si se trata de calcular medias / if one is to calculate averages:
else:
if graph_value is not None and graph_value != 0:
list_values[int(month)] += graph_value
list_average[int(month)] += 1
xunits = []
yunits = []
for i in range (0,monthsnumber):
xunits.append(locale_str(calendar.month_abbr[i+1]))
yunits.append(float(0))
for value in list_values:
if ((value_selected == 0) or (value_selected==1) or (value_selected==4)):
yunits[value-1] = list_values[value]
else:
if list_average[value]>0:
yunits[value-1] = list_values[value]/list_average[value]
return xunits,yunits
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