def code_summary_chart(line):
final = gen_summary()
filename = 'img_chart_summary.png'
chart(final, filename, value2desc)
return r'\includegraphics[totalheight=0.4\textheight]{%s}' % filename
def generate_gui(self, config):
self.title('Entropia')
self.geometry(
str(self.frames_numbers * 55 + 460) + 'x' +
str((self.frames_numbers) * 50 + 80))
# self.frame_start = self.generate_frames()
self.frame_start = Frame(master=self, background='#F3E77F')
self.frame_start.pack(side=LEFT, fill=Y)
self.frame_start.place(x=1,
y=1,
width=self.frames_numbers * 50,
height=80)
self.container = Container(self, config['Container'], config['Atom'])
self.generate_buttons()
self.chart = chart(self)
self.chart.place(y=80,
x=self.frames_numbers * 51,
width=600,
height=400)
self.chart.pack(side=RIGHT, fill=Y)
self.resizable(False, False)
def run(args):
col_num = get_col_num(args.c)
file_iter = (l.rstrip("\r\n").split("\t")
for l in open(args.file) if l[0] != "#")
pvals = np.array([float(b[col_num]) for b in file_iter])
kwargs = {"bins": args.n} if args.n else {}
hist, bins = np.histogram(pvals, normed=True, **kwargs)
xlabels = "|".join("%.2f-%.2f" % b for b in pairwise(bins))
print "#", chart(hist, xlabels)
hist, bins = np.histogram(pvals, normed=False, **kwargs)
print "# median: %.3f mean:%.3f; std: %.3f min:%.3f; max:%.3f" % (
np.median(pvals), pvals.mean(), pvals.std(), pvals.min(), pvals.max())
try:
from scipy.stats import chisquare
chisq, p = chisquare(hist)
print "#chi-square test of uniformity. p: %.3g " \
"(low value means reject null of uniformity)" % p
except ImportError:
pass
print "#bin_start\tbin_end\tn"
for bin, val in zip(pairwise(bins), hist):
print "%.2f\t%.2f\t%i" % (bin[0], bin[1], val)
def chart_from_colony(idcolony, idspectrum_selected=None):
"returns a chart object given a colony id"
from session import session
from chart import chart
from series import series
from table_spectrum import t_spectrum
data = t_spectrum.get_cursor_data(field_names=("spectrum.id", "spectrum.idcolony", "series.vector", "flag_inactive"), \
iddomain=session.iddomain, idcolony=idcolony, idexperiment=session.idexperiment, iddeact=session.iddeact)
ch = chart()
i = 0
for (idspectrum, idcolony, vector, flag_inactive) in data:
se = series()
if vector == None:
se.y_values = []
else:
se.y_values = str2vector(vector)
se.color = session.get_spectrum_color(i)
if not flag_inactive:
pass
else:
se.line_style = "Dot"
if idspectrum_selected and idspectrum == idspectrum_selected:
se.flag_selected = True
ch.bind_series(se)
i += 1
return ch
def code_results_chart(line):
#global results
#
##parts = line.split()
##method = parts[-2]
##testdata = parts[-1]
#
#data = process_results(results, method, testdata)
final, method, testdata = do_code_results(line)
#print data
filename = 'img_chart_%s.png' % method
chart(final, filename, value2desc)
return r'\includegraphics[totalheight=0.4\textheight]{%s}' % filename
def plot(self, bundles=None, settings=None, twinx=False, show=True, **kwargs):
#print "SETTINGS", settings
from chart import chart
self.process(**kwargs)
#print self.settings
if bundles != None:
diff = len(self.datasets) - len(bundles)
if diff > 0:
bundles += [dict(bundles[-1]) for _ in range(diff)]
else:
import chart_config as cc
bundles = [dict(cc._bundle) for _ in range(len(self.datasets))]
# if settings != None:
# for default,new in zip(self.settings, settings):
# default.update(new)
#print self.settings
_twinx = len(self.datasets) % 2 == 0
#print len(self.datasets), len(bundles), settings
# if len(self.charts) == 0:
##print "Calculate charts"
if _twinx and twinx:
for i in range(0, len(self.datasets), 2):
d_one = self.datasets[i]
d_two = self.datasets[i+1]
b_one = bundles[i]
b_two = bundles[i+1]
c = chart([d_one, d_two], self.settings.pop(0))
#print "Twinxing!"
c.plot([b_one, b_two], twinx=twinx, show=show, **kwargs)
self.charts.append(c)
else:
for d_set,bundle,settings in zip(self.datasets, bundles, self.settings):
c = chart([d_set], settings)
c.plot(bundle, twinx=False, show=show, **kwargs)
self.charts.append(c)
def plotperformance_last_12_month(self,Data,date,area):
file_name_xml = 'performance_last_12_month.xml'
t0 = date.replace(year=date.year-1)
consumo_array = []
for r in range(13):
if date.month+r>12:
date_r = t0.replace(year=date.year,month=date.month+r-12,day=1)
else:
date_r = t0.replace(year=date.year-1,month=date.month+r,day=1)
"""dato ya viene correctamente escalado"""
if r==12:
consumo_array.append({'perf_area':float(Data[r])/area,\
'datetimestamp':date_r,\
'Style':'current'})
else:
consumo_array.append({'perf_area':float(Data[r])/area,\
'datetimestamp':date_r,\
'Style':'previous'})
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
scale = {'major_interval':1,
'major_interval_unit': 'Month', \
'minor_interval':1, \
'minor_interval_unit': 'Day',\
'xmin': '%s' % t0, \
'xmax': '%s' % date, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Desempeno por area ultimos 12 meses','Kwh/m2','Hora','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %MMM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['perf_area']
chart1 = chart('%s/viewer/Date-Time-Bar.xml'%abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat='year')
chart1.save_file('%s%s'%(self.path_to_save,file_name_xml))
def plotperformance_last_12_month(self, Data, date, area):
file_name_xml = 'performance_last_12_month.xml'
t0 = date.replace(year=date.year - 1)
consumo_array = []
for r in range(13):
if date.month + r > 12:
date_r = t0.replace(year=date.year,
month=date.month + r - 12,
day=1)
else:
date_r = t0.replace(year=date.year - 1,
month=date.month + r,
day=1)
"""dato ya viene correctamente escalado"""
if r == 12:
consumo_array.append({'perf_area':float(Data[r])/area,\
'datetimestamp':date_r,\
'Style':'current'})
else:
consumo_array.append({'perf_area':float(Data[r])/area,\
'datetimestamp':date_r,\
'Style':'previous'})
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
scale = {'major_interval':1,
'major_interval_unit': 'Month', \
'minor_interval':1, \
'minor_interval_unit': 'Day',\
'xmin': '%s' % t0, \
'xmax': '%s' % date, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Desempeno por area ultimos 12 meses', 'Kwh/m2', 'Hora', 'm3/hr',
'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %MMM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['perf_area']
chart1 = chart('%s/viewer/Date-Time-Bar.xml' % abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat='year')
chart1.save_file('%s%s' % (self.path_to_save, file_name_xml))
def order_execution(self, curr, direction, size, target, stop, id, current_price, digits):
if direction == 'sell':
size = -size
#if date_trade == dt.datetime.now().date():
# order = xxx
# else:
# orderid = len(self.orders) + len(self.trades) + 1
# order = (orderid, curr, size, target, stop)
order = self.handle.order(curr, size, target, stop)
self.plan.get(id).update({
'try_qty': self.plan[id]['try_qty'] - 1
})
self.orders.update({id:{
'asset': curr,
'entry_date': dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date(), #date_trade.date()
'entry_time': dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).time(), #date_trade.time()
'orderID': int(order[0].order.orderId),
'tradeID': 0,
'targetID': 0,
'stopID': 0,
'entry_price': current_price,
'current_price': current_price,
'qty': size,
'target': target,
'stop': stop,
'unrealizedPL': 0,
'strat': self.plan.get(id)['strat'],
'direction': self.plan.get(id)['direction'],
'strat_cond': self.plan.get(id)['strat_cond'],
'strat_name': self.plan.get(id)['strat_name'],
'commission': 0
}})
pd.to_pickle(self.orders, f'./DATA/orders/orders_{dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date()}') #date_trade
chart(self.plan, id, curr, (self.current_time()+100), dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date())
def write_acf(acf_vals, out):
# write acf to a file and return only [((lag_min, lag_max), corr)...]
simple_acf = []
values = [float(v[0]) for k, v in acf_vals]
xlabels = "|".join("%s-%s" % k for k, v in acf_vals)
print >>out, "#", chart(values, xlabels)
print >> out, "#lag_min\tlag_max\tcorrelation\tN\tp"
for k, v in sorted(acf_vals):
print >> out, "%i\t%i\t%.4g\t%i\t%.4g" % (k[0], k[1], v[0], v[1], v[2])
simple_acf.append((k, v[0]))
return simple_acf
def __init__(self, mx, spurs, fef, parent=None):
QMainWindow.__init__(self, parent)
self.mx = mx
self.spurset = spurs
self.fef = fef
self.chart = chart(self.spurset, self.fef)
self.create_menu_bar()
self.create_main_frame()
self.hookup()
def order_process(self, order, id, curr, size):
self.plan.get(id).update(
{
'try_qty': self.plan[id]['try_qty'] - 1
}
)
self.orders.update({id:{
'asset': curr,
'date': pd.to_datetime(order.get('orderFillTransaction').get('time').split('T')[0]).date(),
'entry_time': pd.to_datetime((str(int(order.get('orderFillTransaction').get('time').split('T')[1][0:2]) + 3)) +':'+ order.get('orderFillTransaction').get('time').split('T')[1][3:5]).time(),
'tradeID': order.get('relatedTransactionIDs')[1],
'entry_price': order.get('orderFillTransaction').get('price'),
'qty': size,
'target': order.get('orderCreateTransaction').get('takeProfitOnFill')['price'],
'stop': order.get('orderCreateTransaction').get('stopLossOnFill')['price'],
'margin': order.get('orderFillTransaction').get('tradeOpened')['initialMarginRequired'],
'unrealizedPL': 0,
}})
pd.to_pickle(self.orders, f'./DATA/orders/orders_{dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date()}')
chart(self.plan, id, curr, (self.current_time()+100), dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date())
def order_process(self, order, id, curr, size, strat, others):
self.plan.get(id).update(
{
'try_qty': self.plan[id]['try_qty'] - 1
}
)
try:
order_time = pd.to_datetime((str(int(order.get('orderFillTransaction').get('time').split('T')[1][0:2]) + 3)) +':'+ order.get('orderFillTransaction').get('time').split('T')[1][3:5]).time()
except Exception as e:
print(str(e) + ' on order_process()')
logging.error(str(e))
order_time = dt.datetime.now(tz=pytz.timezone('Europe/Moscow')).time()
self.orders.update({id:{
'asset': curr,
'date': pd.to_datetime(order.get('orderFillTransaction').get('time').split('T')[0]).date(),
'entry_time': order_time,
'tradeID': order.get('relatedTransactionIDs')[1],
'entry_price': order.get('orderFillTransaction').get('price'),
'qty': size,
'target': order.get('orderCreateTransaction').get('takeProfitOnFill')['price'],
'stop': order.get('orderCreateTransaction').get('stopLossOnFill')['price'],
'margin': order.get('orderFillTransaction').get('tradeOpened')['initialMarginRequired'],
'intraday_strat': strat,
'events': cal_list(dt.datetime.now(tz=pytz.timezone("Europe/Moscow"))),
'unrealizedPL': 0,
'others': others,
}})
pd.to_pickle(self.orders, f'./orders')
chart(self.plan, id, curr, self.intraday, (self.current_time()+100), dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date())
#!/usr/bin/env python3
from chart import chart
print('Content-Type; text/html; charset=utf-8')
print('')
print(chart())
def order_execution(self, curr, direction, size, target, stop, id,
current_price, digits, strat, others):
if direction == 'sell':
size = -size
order = self.handle.order(curr, size, target, stop)
print(
f"{id} {direction} {curr} at price: {round(current_price, digits)} , target: {round(target, digits)}, stop: {round(stop, digits)}, size: {size}"
)
self.plan.get(id).update({'try_qty': self.plan[id]['try_qty'] - 1})
self.orders.update({
id: {
'asset':
curr,
'entry_date':
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date(),
'entry_time':
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).time(),
'orderID':
int(order[0].order.orderId),
'tradeID':
0,
'targetID':
0,
'stopID':
0,
'entry_price':
current_price,
'current_price':
current_price,
'qty':
size,
'target':
target,
'stop':
stop,
'unrealizedPL':
0,
'strat':
self.plan.get(id)['strat'],
'direction':
self.plan.get(id)['direction'],
'strat_cond':
self.plan.get(id)['strat_cond'],
'strat_name':
self.plan.get(id)['strat_name'],
'intraday_strat':
strat,
'events':
cal_list(dt.datetime.now(tz=pytz.timezone("Europe/Moscow"))),
'commission':
0,
'others':
others,
}
})
pd.to_pickle(self.orders, f'./orders')
chart(self.plan, id, curr, self.intraday, (self.current_time() + 100),
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date())
def plotprofile_kw(self, timeformat, date, Elec_Tools_handler):
import calendar
power_array = []
if timeformat == 'week':
t0 = date.replace(
day=date.day, hour=0, minute=0, second=0,
microsecond=0) - datetime.timedelta(days=date.weekday() + 7)
t1 = date.replace(
day=date.day, hour=0, minute=0, second=0,
microsecond=0) - datetime.timedelta(days=date.weekday())
t2 = date.replace(
day=date.day, hour=23, minute=59, second=59,
microsecond=0) + datetime.timedelta(
days=6) - datetime.timedelta(days=date.weekday())
elif timeformat == 'month' and date.month == 1:
t0 = date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
year=date.year,
month=1,
day=calendar.mdays[1],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'month':
t0 = date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0).weekday())
elif timeformat == 'year' and date.month == 1:
t0 = date.replace(year=date.year - 1,
month=1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
t1 = date.replace(month=1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
t2 = date.replace(
month=12,
day=calendar.mdays[12],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'year':
t0 = date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'report_power_month':
t0 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t1 = t0
t2 = date.replace(day=calendar.mdays[date.month],
hour=0,
minute=0,
second=0,
microsecond=0)
period = {'week':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s - %s'%((t1).strftime("%d/%m"),t2.strftime("%d/%m"))},\
'month':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s'%t2.strftime("%m/%Y")},\
'year':{'t0':date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't1':date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't2':date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0),\
'date':'%s'%t2.strftime("%Y")},\
'report_power_month':{'t0':t0,\
't2':t2}
}
if timeformat == 'report_power_month':
analisis_detailed = []
power_array_PPP = []
power_array_PP = []
maximos = {'PPP': {'Value': 0}, 'PP': {'Value': 0}}
ave_sum_PPP = 0
ave_sum_PP = 0
for r in range(calendar.mdays[date.month]):
date_r = period['report_power_month'][
't0'] + datetime.timedelta(days=r)
analisis_detailed.append(
Elec_Tools_handler.demand_analysis(date=date_r,
type='day'))
power_array_PPP.append({'PPP':analisis_detailed[r]['PPP']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
power_array_PP.append({'PP':analisis_detailed[r]['PP']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
if analisis_detailed[r]['PPP']['Value'] > maximos['PPP'][
'Value']:
maximos['PPP'] = analisis_detailed[r]['PPP']
if analisis_detailed[r]['PP']['Value'] > maximos['PP']['Value']:
maximos['PP'] = analisis_detailed[r]['PP']
ave_sum_PPP = ave_sum_PPP + analisis_detailed[r]['PPP']['ave']
ave_sum_PP = ave_sum_PPP + analisis_detailed[r]['PP']['ave']
maximos['PPP']['ave'] = pretty_print(float(ave_sum_PPP) /
calendar.mdays[date.month],
scale=1000000000,
label=['KW', 'MW'])
maximos['PP']['ave'] = pretty_print(float(ave_sum_PP) /
calendar.mdays[date.month],
scale=1000000000,
label=['KW', 'MW'])
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % period['report_power_month']['t0'], \
'xmax': '%s' % period['report_power_month']['t2'], \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Perfiles de demandas maximas del mes', 'KW', 'KW', 'm3/hr',
'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['PPP', 'PP']
chart1 = chart('%s/viewer/Date-Time-Line-demandas.xml' % abs_path)
chart1.xml_process(data=[power_array_PPP,power_array_PP], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
chart1.save_file('%sdemandas_mensual.xml' % (self.path_to_save))
return maximos
def plotprofile_kwh(self,
timeformat,
date,
Elec_Tools_handler,
method='ajax'):
# method can be 'ajax' or 'xml'
import calendar
max_decimal = 1
consumo_array = []
if timeformat == 'week':
t0 = date.replace(
day=date.day, hour=0, minute=0, second=0,
microsecond=0) - datetime.timedelta(days=date.weekday() + 7)
t1 = date.replace(
day=date.day, hour=0, minute=0, second=0,
microsecond=0) - datetime.timedelta(days=date.weekday())
t2 = date.replace(
day=date.day, hour=23, minute=59, second=59,
microsecond=0) + datetime.timedelta(
days=6) - datetime.timedelta(days=date.weekday())
elif timeformat == 'month' and date.month == 1:
t0 = date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
year=date.year,
month=1,
day=calendar.mdays[1],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'month':
t0 = date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0).weekday())
elif timeformat == 'year' and date.month == 1:
t0 = date.replace(year=date.year - 1,
month=1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
t1 = date.replace(month=1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
t2 = date.replace(
month=12,
day=calendar.mdays[12],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'year':
t0 = date.replace(month=date.month - 1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0) - datetime.timedelta(
days=date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
t1 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t2 = date.replace(
day=calendar.mdays[date.month],
hour=23,
minute=59,
second=59,
microsecond=0) + datetime.timedelta(
days=6 - date.replace(year=date.year - 1,
month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0).weekday())
elif timeformat == 'report_energy_month':
t0 = date.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
t1 = t0
t2 = date.replace(day=calendar.mdays[date.month],
hour=0,
minute=0,
second=0,
microsecond=0)
period = {'week':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s - %s'%((t1).strftime("%d/%m"),t2.strftime("%d/%m"))},\
'month':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s'%t2.strftime("%m/%Y")},\
'year':{'t0':date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't1':date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't2':date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0),\
'date':'%s'%t2.strftime("%Y")},\
'report_energy_month':{'t0':t0,\
't2':t2}
}
if timeformat == 'week':
file_name_xml = 'grafico_1D.xml'
for r in range(14):
date_r = period['week']['t0'] + datetime.timedelta(days=r)
"""dato ya viene correctamente escalado"""
if r < 7:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
pass
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
else:
pass
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
if method == 'ajax':
return consumo_array
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Energia consumida durante cada dia', 'Kwh', 'Hora', 'm3/hr',
'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd-%MM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat == 'month':
file_name_xml = 'grafico_1D.xml'
days = t2 - t0
weeks = (days / 7)
weeks_num = weeks.days
print weeks_num
if weeks_num % 7 > 0:
weeks_num = weeks_num + 1
for r in range(weeks_num):
date_r = period['month']['t0'] + datetime.timedelta(days=(r) *
7)
"""dato ya viene correctamente escalado"""
if date_r < period['month']['t1']:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
if method == 'ajax':
return consumo_array
scale = {'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Energia consumida por semana', 'Kwh', 'Hora', 'm3/hr', 'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat:%dd-%MM }',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat == 'year':
file_name_xml = 'grafico_1D.xml'
for r in range(24):
if r > 11:
date_r = period['year']['t0'].replace(
year=period['year']['t0'].year + 1, month=r - 11)
else:
date_r = period['year']['t0'].replace(month=r + 1)
"""dato ya viene correctamente escalado"""
if date_r < period['year']['t1']:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
if method == 'ajax':
return consumo_array
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
scale = {'major_interval':1,
'major_interval_unit': 'Month', \
'minor_interval':1, \
'minor_interval_unit': 'Day',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Energia consumida por mes', 'Kwh', 'Hora', 'm3/hr', 'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %MMM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat == 'report_energy_month':
file_name_xml = 'consumo_diario_mensual.xml'
for r in range(calendar.mdays[date.month]):
date_r = period['report_energy_month'][
't0'] + datetime.timedelta(days=r)
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = [
'Energia consumida durante cada dia del mes', 'Kwh', 'Hora',
'm3/hr', 'm3/hr'
]
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['KWH']
chart1 = chart('%s/viewer/Date-Time-Bar.xml' % abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
#print '%s%s'%(self.path_to_save,file_name_xml)
chart1.save_file('%s%s' % (self.path_to_save, file_name_xml))
return True
Series_to_plot = ['KWH']
chart1 = chart('%s/viewer/Date-Time-Bar.xml' % abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
#print '%s%s'%(self.path_to_save,file_name_xml)
chart1.save_file('%s%s' % (self.path_to_save, file_name_xml))
return True
def plotdayprofile(self, signal=None, date=None):
#SELECCION DE DATOS
t0 = date.replace(hour=0, minute=0,
second=0) - datetime.timedelta(days=1)
t1 = date.replace(hour=0, minute=0, second=0)
t2 = date.replace(hour=23, minute=59, second=59)
data_to_process = list(Measurements.objects.filter(user= self.user,sensor=Sensors.objects.get(pk=self.sensor_id),\
datetimestamp__range= (t0,t2)).extra(select=sql_extra_pairs[signal]['sql']).\
order_by('datetimestamp').values('datetimestamp',sql_extra_pairs[signal]['extra']))
serie = []
#print data_to_process
data_size = len(data_to_process)
#calculo de potencia
if signal == 'A_KW' or signal == 'B_KW' or signal == 'C_KW' or signal == 'Total_KW':
data_to_process[0][signal] = 0
#print data_to_process[0][signal]
for r in range(data_size - 1):
delta_time = (
date2num(data_to_process[r + 1]['datetimestamp']) -
date2num(data_to_process[r]['datetimestamp'])) * 24
Power_in_r = float(data_to_process[r + 1][
sql_extra_pairs[signal]['extra']]) / (delta_time)
data_to_process[r + 1][signal] = Power_in_r
#CONSTRUCCION DE DICT PARA PLOTEO
for pointer in range(data_size):
if data_to_process[pointer]['datetimestamp'].replace(
tzinfo=None) < t1:
serie.append({'datetimestamp':data_to_process[pointer]['datetimestamp'],\
signal:data_to_process[pointer][sql_extra_pairs[signal]['plot']]*ganancias_dict[signal]['gain'],\
'Style':'previous'})
else:
serie.append({'datetimestamp':data_to_process[pointer]['datetimestamp'],\
signal:data_to_process[pointer][sql_extra_pairs[signal]['plot']]*ganancias_dict[signal]['gain'],\
'Style':'current'})
data_to_plot = [serie] #datos parseados
#FORMATOS DE ANYCHART
scale = { 'major_interval':6,\
'major_interval_unit': 'Hour', \
'minor_interval':30, \
'minor_interval_unit': 'Minute',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat:%HH:%mm \n%dd-%MM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:2} \n{%XValue}{dateTimeFormat:%HH:%mm \n%dd-%MM-%yyyy}',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = [signal] #key de la serie a plotear
labels = [
ganancias_dict[signal]['chartTitle'],
ganancias_dict[signal]['chartLabel'], 'Hora', 'm3/hr', 'm3/hr'
]
chart1 = chart('%s/viewer/Date-Time-Line-3.xml' % abs_path)
chart1.xml_process(data=data_to_plot, Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat='daypower')
chart1.save_file('%sgrafico_1D.xml' % self.path_to_save)
def order_execution(self, curr, direction, size, target, stop, id,
current_price, digits):
if direction == 'sell':
size = -size
order = self.handle.order(curr, size, target, stop)
print(order)
self.plan.get(id).update({'try_qty': self.plan[id]['try_qty'] - 1})
self.orders.update({
id: {
'asset':
curr,
'entry_date':
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date(),
'entry_time':
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).time(),
'tradeID':
0,
'targetID':
0,
'stopID':
0,
'entry_price':
current_price,
'current_price':
current_price,
'qty':
size,
'target':
target,
'stop':
stop,
'unrealizedPL':
0,
'strat':
self.plan.get(id)['strat'],
'direction':
self.plan.get(id)['direction'],
'strat_cond':
self.plan.get(id)['strat_cond'],
'strat_name':
self.plan.get(id)['strat_name'],
'commission':
0
}
})
print(
pd.DataFrame(self.orders.values(), self.orders.keys())[[
'asset', 'current_price', 'direction', 'entry_date',
'entry_price', 'entry_time', 'qty', 'stop', 'target',
'tradeID', 'unrealizedPL'
]])
pd.to_pickle(
self.orders,
f'./DATA/orders/orders_{dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date()}'
)
chart(self.plan, id, curr, self.current_time(),
dt.datetime.now(tz=pytz.timezone("Europe/Moscow")).date())
def sentiment(Data, text, negative, positive, twitter):
negmessage = [
Data[0],
' Apologies for Trump and his rudeness today. @realDonaldTrump'
]
posmessage = [
Data[1],
' Wow, Donald Trump managed to actually be decent today! @realDonaldTrump'
]
score = analyze(str.lower(text), negative, positive)
#if positive sentiment
if (score > 0):
print(text)
print(score)
#if 5 minutes no input to verify, continue with posmessage - change later
try:
answer = timer.input_with_timeout(
"Is this tweet actually positive? Y for yes, N for no: ", 10)
except timer.TimeoutExpired:
print(score)
Data[2] = int(Data[2]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
if str.lower(answer) == "y":
print(score)
Data[2] = int(Data[2]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
elif str.lower(answer) == "n":
print(score)
Data[4] = int(Data[4]) + 1
Data[1] = int(Data[1]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=negmessage,
media_ids=[response['media_id']])
#if neutral sentiment
if (score == 0):
print(text)
print(score)
#if 5 minutes no input to verify, continue with posmessage - change later
try:
answer = timer.input_with_timeout(
"Is this tweet actually neutral? Y for yes, N for no: ", 10)
except timer.TimeoutExpired:
print(score)
Data[3] = int(Data[3]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
if str.lower(answer) == "y":
print(score)
Data[3] = int(Data[3]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
elif str.lower(answer) == "n":
print(score)
Data[4] = int(Data[4]) + 1
Data[1] = int(Data[1]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=negmessage,
media_ids=[response['media_id']])
#if negative sentiment
if (score < 0):
#if 5 minutes no input to verify, continue with negmessage - change later
print(text)
print(score)
try:
answer = timer.input_with_timeout(
"Is this tweet actually negative? Y for yes, N for no, p for neutral: ",
10)
except timer.TimeoutExpired:
print(score)
Data[4] = int(Data[4]) + 1
Data[1] = int(Data[1]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=negmessage,
media_ids=[response['media_id']])
if str.lower(answer) == "y":
print(score)
Data[4] = int(Data[4]) + 1
Data[1] = int(Data[1]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=negmessage,
media_ids=[response['media_id']])
elif str.lower(answer) == "n":
print(score)
Data[2] = int(Data[2]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
elif str.lower(answer) == "p":
print(score)
Data[3] = int(Data[3]) + 1
Data[0] = int(Data[0]) + 1
chart(Data[2], Data[3], Data[4])
photo = open('chart.png', 'rb')
response = twitter.upload_media(media=photo)
twitter.update_status(status=posmessage,
media_ids=[response['media_id']])
def plotprofile_kwh(self,timeformat,date, Elec_Tools_handler,method='ajax'):
# method can be 'ajax' or 'xml'
import calendar
max_decimal = 1
consumo_array = []
if timeformat == 'week':
t0 = date.replace(day=date.day,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.weekday()+7)
t1 = date.replace(day=date.day,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.weekday())
t2 = date.replace(day=date.day,hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6)-datetime.timedelta(days=date.weekday())
elif timeformat == 'month' and date.month==1:
t0 = date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(year=date.year,month=1,day=calendar.mdays[1],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'month':
t0 = date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0).weekday())
elif timeformat == 'year' and date.month==1:
t0 = date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0)
t1 = date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'year':
t0 = date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'report_energy_month':
t0 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t1 = t0
t2 = date.replace(day=calendar.mdays[date.month],hour=0,minute=0,second=0,microsecond=0)
period = {'week':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s - %s'%((t1).strftime("%d/%m"),t2.strftime("%d/%m"))},\
'month':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s'%t2.strftime("%m/%Y")},\
'year':{'t0':date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't1':date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't2':date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0),\
'date':'%s'%t2.strftime("%Y")},\
'report_energy_month':{'t0':t0,\
't2':t2}
}
if timeformat == 'week':
file_name_xml = 'grafico_1D.xml'
for r in range(14):
date_r = period['week']['t0'] + datetime.timedelta(days=r)
"""dato ya viene correctamente escalado"""
if r < 7:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
pass
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
else:
pass
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
if method == 'ajax':
return consumo_array
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Energia consumida durante cada dia','Kwh','Hora','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd-%MM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat == 'month':
file_name_xml = 'grafico_1D.xml'
days = t2-t0
weeks = (days/7)
weeks_num = weeks.days
print weeks_num
if weeks_num%7>0:
weeks_num = weeks_num+1
for r in range(weeks_num):
date_r = period['month']['t0'] + datetime.timedelta(days=(r)*7)
"""dato ya viene correctamente escalado"""
if date_r < period['month']['t1']:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='week')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
if method == 'ajax':
return consumo_array
scale = {'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Energia consumida por semana','Kwh','Hora','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat:%dd-%MM }',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat =='year':
file_name_xml = 'grafico_1D.xml'
for r in range(24):
if r >11:
date_r = period['year']['t0'].replace(year=period['year']['t0'].year+1, month=r-11)
else:
date_r = period['year']['t0'].replace(month=r+1)
"""dato ya viene correctamente escalado"""
if date_r < period['year']['t1']:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'previous'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'previous'})
else:
if method == 'xml':
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
elif method == 'ajax':
consumo_array.append({'KWH':round(Elec_Tools_handler.calculo_consumo(date=date_r,type='month')['Total']['Value'],max_decimal),\
'datetimestamp':date_r.strftime("%Y-%m-%d %H:%M:%S"),\
'Style':'current'})
if method == 'ajax':
return consumo_array
"""configuracion de ploteo y sus formatos deveberian estan en un archivo a parte"""
scale = {'major_interval':1,
'major_interval_unit': 'Month', \
'minor_interval':1, \
'minor_interval_unit': 'Day',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Energia consumida por mes','Kwh','Hora','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %MMM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
if timeformat == 'report_energy_month':
file_name_xml = 'consumo_diario_mensual.xml'
for r in range(calendar.mdays[date.month]):
date_r = period['report_energy_month']['t0'] + datetime.timedelta(days=r)
consumo_array.append({'KWH':Elec_Tools_handler.calculo_consumo(date=date_r,type='day')['Total']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Energia consumida durante cada dia del mes','Kwh','Hora','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['KWH']
chart1 = chart('%s/viewer/Date-Time-Bar.xml'%abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
#print '%s%s'%(self.path_to_save,file_name_xml)
chart1.save_file('%s%s'%(self.path_to_save,file_name_xml))
return True
Series_to_plot = ['KWH']
chart1 = chart('%s/viewer/Date-Time-Bar.xml'%abs_path)
chart1.xml_process(data=[consumo_array], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
#print '%s%s'%(self.path_to_save,file_name_xml)
chart1.save_file('%s%s'%(self.path_to_save,file_name_xml))
return True
def plotprofile_kw(self,timeformat,date, Elec_Tools_handler):
import calendar
power_array = []
if timeformat == 'week':
t0 = date.replace(day=date.day,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.weekday()+7)
t1 = date.replace(day=date.day,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.weekday())
t2 = date.replace(day=date.day,hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6)-datetime.timedelta(days=date.weekday())
elif timeformat == 'month' and date.month==1:
t0 = date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(year=date.year,month=1,day=calendar.mdays[1],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'month':
t0 = date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0).weekday())
elif timeformat == 'year' and date.month==1:
t0 = date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0)
t1 = date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'year':
t0 = date.replace(month=date.month-1,day=1,hour=0,minute=0,second=0,microsecond=0)-datetime.timedelta(days=date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
t1 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t2 = date.replace(day=calendar.mdays[date.month],hour=23,minute=59,second=59,microsecond=0)+datetime.timedelta(days=6-date.replace(year=date.year-1,month=12,day=1,hour=0,minute=0,second=0,microsecond=0).weekday())
elif timeformat == 'report_power_month':
t0 = date.replace(day=1,hour=0,minute=0,second=0,microsecond=0)
t1 = t0
t2 = date.replace(day=calendar.mdays[date.month],hour=0,minute=0,second=0,microsecond=0)
period = {'week':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s - %s'%((t1).strftime("%d/%m"),t2.strftime("%d/%m"))},\
'month':{'t0':t0,\
't1':t1,\
't2':t2,\
'date':'%s'%t2.strftime("%m/%Y")},\
'year':{'t0':date.replace(year=date.year-1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't1':date.replace(month=1,day=1,hour=0,minute=0,second=0,microsecond=0),\
't2':date.replace(month=12,day=calendar.mdays[12],hour=23,minute=59,second=59,microsecond=0),\
'date':'%s'%t2.strftime("%Y")},\
'report_power_month':{'t0':t0,\
't2':t2}
}
if timeformat == 'report_power_month':
analisis_detailed = []
power_array_PPP = []
power_array_PP = []
maximos = {'PPP':{'Value':0},'PP':{'Value':0}}
ave_sum_PPP = 0
ave_sum_PP = 0
for r in range(calendar.mdays[date.month]):
date_r = period['report_power_month']['t0'] + datetime.timedelta(days=r)
analisis_detailed.append(Elec_Tools_handler.demand_analysis(date=date_r,type='day'))
power_array_PPP.append({'PPP':analisis_detailed[r]['PPP']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
power_array_PP.append({'PP':analisis_detailed[r]['PP']['Value'],\
'datetimestamp':date_r,\
'Style':'current'})
if analisis_detailed[r]['PPP']['Value'] > maximos['PPP']['Value']:
maximos['PPP']=analisis_detailed[r]['PPP']
if analisis_detailed[r]['PP']['Value'] > maximos['PP']['Value']:
maximos['PP']=analisis_detailed[r]['PP']
ave_sum_PPP=ave_sum_PPP+analisis_detailed[r]['PPP']['ave']
ave_sum_PP=ave_sum_PPP+analisis_detailed[r]['PP']['ave']
maximos['PPP']['ave']=pretty_print(float(ave_sum_PPP)/calendar.mdays[date.month],scale=1000000000,label=['KW','MW'])
maximos['PP']['ave']=pretty_print(float(ave_sum_PP)/calendar.mdays[date.month],scale=1000000000,label=['KW','MW'])
scale = { 'major_interval':1,
'major_interval_unit': 'Day', \
'minor_interval':1, \
'minor_interval_unit': 'Hour',\
'xmin': '%s' % period['report_power_month']['t0'], \
'xmax': '%s' % period['report_power_month']['t2'], \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
labels = ['Perfiles de demandas maximas del mes','KW','KW','m3/hr','m3/hr']
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat: %dd}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:0}Kwh',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = ['PPP','PP']
chart1 = chart('%s/viewer/Date-Time-Line-demandas.xml'%abs_path)
chart1.xml_process(data=[power_array_PPP,power_array_PP], Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat=timeformat)
chart1.save_file('%sdemandas_mensual.xml'%(self.path_to_save))
return maximos
def plotyearenergy(self):
date_current = self.dates
date_previous = date_current.replace(year=date_current.year - 1,month=1,day=1)
data_to_process = Measurements.objects.\
filter(user = self.user,\
sensor = Sensors.objects.get(pk=self.sensor_id),\
datetimestamp__gte = date_previous).\
filter(datetimestamp__lte = date_current+datetime.timedelta(days=1)).\
order_by('datetimestamp').\
values('Pactiva','datetimestamp')
data_size = len(data_to_process)
energy_per_month = []
pointer = 0
date_previous = date_current.replace(year=date_current.year - 1,month=1,day=1,hour=0,minute=0,second=0,microsecond=0)
for month in range(24):
#Calculation of energy consumption each hour
month_acum = 0
if month >= 11 and month <23:
segmento = date_previous.replace(year=date_previous.year+1,month=month-10,hour=0,minute=0,second=0,microsecond=0)
elif month == 23:
segmento = date_current.replace(month=12,day=1,hour=0,minute=0,second=0,microsecond=0)
else:
segmento = date_previous.replace(month=month+2,hour=0,minute=0,second=0,microsecond=0)
while pointer < data_size-1:
x_delta_time_num = date2num(data_to_process[pointer+1]['datetimestamp'])-date2num(data_to_process[pointer]['datetimestamp'])
power_x = data_to_process[pointer]['Pactiva']
month_acum = month_acum + power_x * x_delta_time_num * 24
if data_to_process[pointer + 1]['datetimestamp'].replace(tzinfo=None) >= segmento:
pointer = pointer + 1
break
else:
pointer = pointer + 1
if month < 11:
#print segmento.month-1,month
energy_per_month.append({'datetimestamp':segmento.replace(month=segmento.month-1),\
'Pactiva':int(month_acum),\
'Style':'previous'})
elif month ==11:
#print 12,month
energy_per_month.append({'datetimestamp':segmento.replace(month=12),\
'Pactiva':int(month_acum),\
'Style':'previous'})
elif month < 23:
#print segmento.month-1,month
energy_per_month.append({'datetimestamp':segmento.replace(month=segmento.month-1),\
'Pactiva':int(month_acum),\
'Style':'current'})
else:
#print 12,month
energy_per_month.append({'datetimestamp':segmento.replace(month=12),\
'Pactiva':int(month_acum),\
'Style':'current'})
data_to_plot = [energy_per_month]
chart1 = chart('%s/viewer/Date-Time-Bar.xml'%abs_path)
chart1.xml_process(data_to_plot, scale, ['Energia consumida por mes','Kwh','Hora','m3/hr','m3/hr'], formatos,[0,0,0],timeformat='year')
chart1.save_file('%s/media/charts/grafico_1D.xml'%abs_path)
def plotdayprofile(self,signal=None,date=None):
#SELECCION DE DATOS
t0 = date.replace(hour=0,minute=0,second=0) - datetime.timedelta(days=1)
t1 = date.replace(hour=0,minute=0,second=0)
t2 = date.replace(hour=23,minute=59,second=59)
data_to_process = list(Measurements.objects.filter(user= self.user,sensor=Sensors.objects.get(pk=self.sensor_id),\
datetimestamp__range= (t0,t2)).extra(select=sql_extra_pairs[signal]['sql']).\
order_by('datetimestamp').values('datetimestamp',sql_extra_pairs[signal]['extra']))
serie = []
#print data_to_process
data_size=len(data_to_process)
#calculo de potencia
if signal=='A_KW' or signal=='B_KW' or signal=='C_KW' or signal=='Total_KW':
data_to_process[0][signal] = 0
#print data_to_process[0][signal]
for r in range(data_size-1):
delta_time = (date2num(data_to_process[r+1]['datetimestamp'])-date2num(data_to_process[r]['datetimestamp']))*24
Power_in_r = float(data_to_process[r+1][sql_extra_pairs[signal]['extra']])/(delta_time)
data_to_process[r+1][signal] = Power_in_r
#CONSTRUCCION DE DICT PARA PLOTEO
for pointer in range(data_size):
if data_to_process[pointer]['datetimestamp'].replace(tzinfo=None) < t1:
serie.append({'datetimestamp':data_to_process[pointer]['datetimestamp'],\
signal:data_to_process[pointer][sql_extra_pairs[signal]['plot']]*ganancias_dict[signal]['gain'],\
'Style':'previous'})
else:
serie.append({'datetimestamp':data_to_process[pointer]['datetimestamp'],\
signal:data_to_process[pointer][sql_extra_pairs[signal]['plot']]*ganancias_dict[signal]['gain'],\
'Style':'current'})
data_to_plot = [serie] #datos parseados
#FORMATOS DE ANYCHART
scale = { 'major_interval':6,\
'major_interval_unit': 'Hour', \
'minor_interval':30, \
'minor_interval_unit': 'Minute',\
'xmin': '%s' % t0, \
'xmax': '%s' % t2, \
'ymin':0,\
'ymax':40000,\
'autoscale':'on'}
formatos = {'xinputformat':'%yyyy-%MM-%dd %HH:%mm:%ss',\
'xlabelformat':'{%Value}{dateTimeFormat:%HH:%mm \n%dd-%MM}',\
'tooltipformat':'Valor: {%YValue}{numDecimals:2} \n{%XValue}{dateTimeFormat:%HH:%mm \n%dd-%MM-%yyyy}',\
'ylabelformat':'{%Value}{numDecimals:0}',\
'y2labelformat':'{%Value}{numDecimals:0}',\
'y3labelformat':'{%Value}{numDecimals:0}'}
Series_to_plot = [signal] #key de la serie a plotear
labels = [ganancias_dict[signal]['chartTitle'],ganancias_dict[signal]['chartLabel'],'Hora','m3/hr','m3/hr']
chart1 = chart('%s/viewer/Date-Time-Line-3.xml'%abs_path)
chart1.xml_process(data=data_to_plot, Series_to_plot=Series_to_plot, scale=scale, \
Titles=labels, formatos=formatos,integral=[0,0,0],timeformat='daypower')
chart1.save_file('%sgrafico_1D.xml'%self.path_to_save)
def plotyearenergy(self):
date_current = self.dates
date_previous = date_current.replace(year=date_current.year - 1,
month=1,
day=1)
data_to_process = Measurements.objects.\
filter(user = self.user,\
sensor = Sensors.objects.get(pk=self.sensor_id),\
datetimestamp__gte = date_previous).\
filter(datetimestamp__lte = date_current+datetime.timedelta(days=1)).\
order_by('datetimestamp').\
values('Pactiva','datetimestamp')
data_size = len(data_to_process)
energy_per_month = []
pointer = 0
date_previous = date_current.replace(year=date_current.year - 1,
month=1,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
for month in range(24):
#Calculation of energy consumption each hour
month_acum = 0
if month >= 11 and month < 23:
segmento = date_previous.replace(year=date_previous.year + 1,
month=month - 10,
hour=0,
minute=0,
second=0,
microsecond=0)
elif month == 23:
segmento = date_current.replace(month=12,
day=1,
hour=0,
minute=0,
second=0,
microsecond=0)
else:
segmento = date_previous.replace(month=month + 2,
hour=0,
minute=0,
second=0,
microsecond=0)
while pointer < data_size - 1:
x_delta_time_num = date2num(
data_to_process[pointer + 1]['datetimestamp']) - date2num(
data_to_process[pointer]['datetimestamp'])
power_x = data_to_process[pointer]['Pactiva']
month_acum = month_acum + power_x * x_delta_time_num * 24
if data_to_process[pointer + 1]['datetimestamp'].replace(
tzinfo=None) >= segmento:
pointer = pointer + 1
break
else:
pointer = pointer + 1
if month < 11:
#print segmento.month-1,month
energy_per_month.append({'datetimestamp':segmento.replace(month=segmento.month-1),\
'Pactiva':int(month_acum),\
'Style':'previous'})
elif month == 11:
#print 12,month
energy_per_month.append({'datetimestamp':segmento.replace(month=12),\
'Pactiva':int(month_acum),\
'Style':'previous'})
elif month < 23:
#print segmento.month-1,month
energy_per_month.append({'datetimestamp':segmento.replace(month=segmento.month-1),\
'Pactiva':int(month_acum),\
'Style':'current'})
else:
#print 12,month
energy_per_month.append({'datetimestamp':segmento.replace(month=12),\
'Pactiva':int(month_acum),\
'Style':'current'})
data_to_plot = [energy_per_month]
chart1 = chart('%s/viewer/Date-Time-Bar.xml' % abs_path)
chart1.xml_process(
data_to_plot,
scale,
['Energia consumida por mes', 'Kwh', 'Hora', 'm3/hr', 'm3/hr'],
formatos, [0, 0, 0],
timeformat='year')
chart1.save_file('%s/media/charts/grafico_1D.xml' % abs_path)
def plotenergydistribution(self,Data):
chart1 = chart('%s/viewer/cake-energy-distribution.xml'%abs_path)
chart1.pie_build_xml(Data)
chart1.save_file('%s%s'%(self.path_to_save,'cake-energy-distribution.xml'))
def initUI(self):
mainWidget = QtGui.QWidget()
hbox = QtGui.QHBoxLayout(mainWidget)
self.rightbottom = QtGui.QWidget(mainWidget)
#self.rightbottom.setFixedHeight(400)
grid = QtGui.QGridLayout()
self.rightbottom.setLayout(grid)
btnStretch = QtGui.QPushButton('Stretch Histogram',self.rightbottom)
btnStretch.clicked.connect(self.stretchHisto)
grid.addWidget(btnStretch, 0,0)
btnShrink = QtGui.QPushButton('Shrink Histogram', self.rightbottom)
btnShrink.clicked.connect(self.shrinkHisto)
grid.addWidget(btnShrink, 1,0)
btnSlidesLeft = QtGui.QPushButton('Slides Left Histogram', self.rightbottom)
btnSlidesLeft.clicked.connect(self.slidesLeftHisto)
grid.addWidget(btnSlidesLeft, 2,0)
btnSlidesRight = QtGui.QPushButton('Slides Right Histogram', self.rightbottom)
btnSlidesRight.clicked.connect(self.slidesRightHisto)
grid.addWidget(btnSlidesRight, 3,0)
btnHistogramEq = QtGui.QPushButton('Histogram Equalization', self.rightbottom)
btnHistogramEq.clicked.connect(self.histogramEqualization)
grid.addWidget(btnHistogramEq, 4,0)
btnNegative = QtGui.QPushButton('Negative', self.rightbottom)
btnNegative.clicked.connect(self.negative)
grid.addWidget(btnNegative, 5,0)
btnMeanFilter = QtGui.QPushButton('Local Operations(mean)', self.rightbottom)
btnMeanFilter.clicked.connect(self.meanFilter)
grid.addWidget(btnMeanFilter, 6,0)
btnMedianFilter = QtGui.QPushButton('Local Operations(median)', self.rightbottom)
btnMedianFilter.clicked.connect(self.medianFilter)
grid.addWidget(btnMedianFilter, 7,0)
btnEdgeDetection = QtGui.QPushButton('Edge Detection', self.rightbottom)
btnEdgeDetection.clicked.connect(self.edgeDetection)
grid.addWidget(btnEdgeDetection, 8,0)
#btnRest = QtGui.QPushButton('Rest', self.rightbottom)
#grid.addWidget(btnRest, 9,0)
lblSlidesLeft = QtGui.QLabel('By:')
grid.addWidget(lblSlidesLeft, 2,1)
self.slidesLeftEdit = QtGui.QLineEdit()
grid.addWidget(self.slidesLeftEdit, 2,2)
lblSlidesRight = QtGui.QLabel('By:')
grid.addWidget(lblSlidesRight, 3,1)
self.slidesRightEdit = QtGui.QLineEdit()
grid.addWidget(self.slidesRightEdit, 3,2)
lblMaxR = QtGui.QLabel('Max:')
grid.addWidget(lblMaxR, 1,1)
self.maxREdit = QtGui.QLineEdit()
grid.addWidget(self.maxREdit, 1,2)
lblMinR = QtGui.QLabel('Min:')
grid.addWidget(lblMinR, 1,3)
self.minREdit = QtGui.QLineEdit()
grid.addWidget(self.minREdit, 1,4)
#hide it, its empty
self.rightbottom.hide()
self.imageWidget = imageWidget()
#self.imgPreProc.setFixedSize(800,650)
self.histoChart = chart()
#self.histoChart.setFixedHeight(180)
splitter1 = QtGui.QSplitter(QtCore.Qt.Vertical)
splitter1.addWidget(self.histoChart)
splitter1.addWidget(self.rightbottom)
splitter2 = QtGui.QSplitter(QtCore.Qt.Horizontal)
splitter2.addWidget(self.imageWidget)
splitter2.addWidget(splitter1)
hbox.addWidget(splitter2)
mainWidget.setLayout(hbox)
"""
#new stuff
splitter1 = QtGui.QSplitter(QtCore.Qt.Vertical)# down right
splitter1.addWidget(self.rightbottom) #controls
splitter1.addWidget(self.histoChart) #right chart
splitter2 = QtGui.QSplitter(QtCore.Qt.Vertical) # down
splitter2.addWidget(self.histoChart) # left chart
splitter2.addWidget(splitter1)
splitter3 = QtGui.QSplitter(QtCore.Qt.Vertical) # up
splitter3.addWidget(self.imgPreProc) #left image
splitter3.addWidget(self.imgPreProc) #right image
splitter4 = QtGui.QSplitter(QtCore.Qt.Horizontal)
splitter4.addWidget(splitter3)
splitter4.addWidget(splitter2)
hbox.addWidget(splitter4)
mainWidget.setLayout(hbox)
#end new stuff
"""
self.setCentralWidget(mainWidget)
#a try of making a status bar
statusBar = QtGui.QStatusBar()
statusBar.setFixedHeight(18)
self.setStatusBar(statusBar)
self.statusBar().showMessage(self.tr("Ready"))
self.progressBar = QtGui.QProgressBar(self.statusBar())
self.progressBar.setMaximum(0)
self.progressBar.setMinimum(100)
self.statusBar().addPermanentWidget(self.progressBar)
self.setupMenu()
#self.setGeometry(300, 300, 1200, 700)
self.showMaximized()
self.setWindowTitle('Image Processing')
self.setWindowIcon(QtGui.QIcon('IP.gif'))
self.show()
def plotenergydistribution(self, Data):
chart1 = chart('%s/viewer/cake-energy-distribution.xml' % abs_path)
chart1.pie_build_xml(Data)
chart1.save_file('%s%s' %
(self.path_to_save, 'cake-energy-distribution.xml'))
