def c_chart_view(request):
#setup
symbol=request.GET.get('symbol','BTC_ETH')
i = 0
charts = []
chartnames = []
metas = []
symbols = Price.objects.values('symbol').distinct().order_by('symbol').values_list('symbol',flat=True)
#get data
pts, symbols_that_exist = get_data(request,symbol,'history_classifiertest',ClassifierTest)
if len(pts) == 0:
return render_to_response('notfound.html')
trainer_last_seen = None
try:
last_pt = ClassifierTest.objects.filter(type='mock').order_by('-created_on').first()
is_trainer_running = last_pt.created_on > (get_time() - datetime.timedelta(minutes=int(15)))
trainer_last_seen = (last_pt.created_on- datetime.timedelta(hours=int(7))).strftime('%a %H:%M')
except Exception:
is_trainer_running = False
meta = {
'count' : int(round(pts.count(),0)),
'avg' : round(pts.aggregate(Avg('percent_correct'))['percent_correct__avg'],0),
'median' : round(median_value(pts,'percent_correct'),0),
'max' : round(pts.aggregate(Max('percent_correct'))['percent_correct__max'],0),
'min' : round(pts.aggregate(Min('percent_correct'))['percent_correct__min'],0),
}
#get global chart information
for parameter in ['percent_correct' ,'score']:
i = i + 1
cht = get_line_chart(pts,symbol,parameter)
charts.append(cht)
options = []
chartnames.append("container"+str(i))
metas.append({
'name' : parameter,
'container_class' : 'show',
'class' : "container"+str(i),
'options' : options,
})
# get parameter distribution charts
parameters = ['name','datasetinputs','granularity','minutes_back','timedelta_back_in_granularity_increments','time','prediction_size']
for x_axis in parameters:
i = i + 1
cht = get_scatter_chart(pts,x_axis,symbol)
charts.append(cht)
options_dict = pts.values(x_axis).annotate(Avg('percent_correct')).annotate(Count('pk'))
options = [ (x_axis, obj[x_axis], int(round(obj['percent_correct__avg'],0)), int(round(obj['pk__count'],0)) ) for obj in options_dict ]
options.sort(key=lambda x: x[1])
the_max = max([option[2] for option in options])
for k in range(len(options)):
options[k] = options[k] + (("max" if options[k][2] == the_max else "notmax") + " " + ("warning" if options[k][3] < 5 else "nowarning"),)
chartnames.append("container"+str(i))
metas.append({
'name' : x_axis,
'container_class' : 'show' if len(options) > 1 else 'noshow',
'class' : "container"+str(i),
'options' : options,
})
#Step 3: Send the chart object to the template.
return render_to_response('c_chart.html',{
'pts' : pts.order_by('percent_correct'),
'ticker' : symbol,
'symbols' : symbols,
'meta' : meta,
'days_ago' : [1,2,3,4,5,10,15,30],
'hours_ago' : [1,2,3,6,12,24],
'getparams' : getify(request.GET),
'charts': charts,
'metas' : metas,
'chartnames' : chartnames,
'chartnamesstr' : ",".join(chartnames),
'is_trainer_running' : is_trainer_running,
'trainer_last_seen' : trainer_last_seen,
'symbols_that_exist' : symbols_that_exist,
})
def c_chart_view(request):
#setup
symbol = request.GET.get('symbol', 'BTC_ETH')
i = 0
charts = []
chartnames = []
metas = []
symbols = Price.objects.values('symbol').distinct().order_by(
'symbol').values_list('symbol', flat=True)
#get data
pts, symbols_that_exist = get_data(request, symbol,
'history_classifiertest',
ClassifierTest)
if len(pts) == 0:
return render_to_response('notfound.html')
trainer_last_seen = None
try:
last_pt = ClassifierTest.objects.filter(
type='mock').order_by('-created_on').first()
is_trainer_running = last_pt.created_on > (
get_time() - datetime.timedelta(minutes=int(15)))
trainer_last_seen = (
last_pt.created_on -
datetime.timedelta(hours=int(7))).strftime('%a %H:%M')
except Exception:
is_trainer_running = False
meta = {
'count':
int(round(pts.count(), 0)),
'avg':
round(
pts.aggregate(Avg('percent_correct'))['percent_correct__avg'], 0),
'median':
round(median_value(pts, 'percent_correct'), 0),
'max':
round(
pts.aggregate(Max('percent_correct'))['percent_correct__max'], 0),
'min':
round(
pts.aggregate(Min('percent_correct'))['percent_correct__min'], 0),
}
#get global chart information
for parameter in ['percent_correct', 'score']:
i = i + 1
cht = get_line_chart(pts, symbol, parameter)
charts.append(cht)
options = []
chartnames.append("container" + str(i))
metas.append({
'name': parameter,
'container_class': 'show',
'class': "container" + str(i),
'options': options,
})
# get parameter distribution charts
parameters = [
'name', 'datasetinputs', 'granularity', 'minutes_back',
'timedelta_back_in_granularity_increments', 'time', 'prediction_size'
]
for x_axis in parameters:
i = i + 1
cht = get_scatter_chart(pts, x_axis, symbol)
charts.append(cht)
options_dict = pts.values(x_axis).annotate(
Avg('percent_correct')).annotate(Count('pk'))
options = [(x_axis, obj[x_axis],
int(round(obj['percent_correct__avg'],
0)), int(round(obj['pk__count'], 0)))
for obj in options_dict]
options.sort(key=lambda x: x[1])
the_max = max([option[2] for option in options])
for k in range(len(options)):
options[k] = options[k] + (
("max" if options[k][2] == the_max else "notmax") + " " +
("warning" if options[k][3] < 5 else "nowarning"), )
chartnames.append("container" + str(i))
metas.append({
'name': x_axis,
'container_class': 'show' if len(options) > 1 else 'noshow',
'class': "container" + str(i),
'options': options,
})
#Step 3: Send the chart object to the template.
return render_to_response(
'c_chart.html', {
'pts': pts.order_by('percent_correct'),
'ticker': symbol,
'symbols': symbols,
'meta': meta,
'days_ago': [1, 2, 3, 4, 5, 10, 15, 30],
'hours_ago': [1, 2, 3, 6, 12, 24],
'getparams': getify(request.GET),
'charts': charts,
'metas': metas,
'chartnames': chartnames,
'chartnamesstr': ",".join(chartnames),
'is_trainer_running': is_trainer_running,
'trainer_last_seen': trainer_last_seen,
'symbols_that_exist': symbols_that_exist,
})