def get_context_data(self, **kwargs):
context = super(UserProblemsPage, self).get_context_data(**kwargs)
result = Submission.objects.filter(user=self.object, points__gt=0, problem__is_public=True,
problem__is_organization_private=False) \
.exclude(problem__in=self.get_completed_problems() if self.hide_solved else []) \
.values('problem__id', 'problem__code', 'problem__name', 'problem__points', 'problem__group__full_name') \
.distinct().annotate(points=Max('points')).order_by('problem__group__full_name', 'problem__code')
def process_group(group, problems_iter):
problems = list(problems_iter)
points = sum(map(itemgetter('points'), problems))
return {'name': group, 'problems': problems, 'points': points}
context['best_submissions'] = [
process_group(group, problems) for group, problems in itertools.groupby(
remap_keys(result, {
'problem__code': 'code', 'problem__name': 'name', 'problem__points': 'total',
'problem__group__full_name': 'group'
}), itemgetter('group'))
]
breakdown, has_more = get_pp_breakdown(self.object, start=0, end=10)
context['pp_breakdown'] = breakdown
context['pp_has_more'] = has_more
return context
def get_context_data(self, **kwargs):
context = super(UserPerformancePointsAjax, self).get_context_data(**kwargs)
try:
start = int(self.request.GET.get('start', 0))
end = int(self.request.GET.get('end', settings.DMOJ_PP_ENTRIES))
if start < 0 or end < 0 or start > end:
raise ValueError
except ValueError:
start, end = 0, 100
breakdown, self.has_more = get_pp_breakdown(self.object, start=start, end=end)
context['pp_breakdown'] = breakdown
return context
def get_context_data(self, **kwargs):
context = super(UserPerformancePointsAjax, self).get_context_data(**kwargs)
try:
start = int(self.request.GET.get('start', 0))
end = int(self.request.GET.get('end', PP_ENTRIES))
if start < 0 or end < 0 or start > end:
raise ValueError
except ValueError:
start, end = 0, 100
breakdown, self.has_more = get_pp_breakdown(self.object, start=start, end=end)
context['pp_breakdown'] = breakdown
return context
def get_context_data(self, **kwargs):
context = super(UserPage, self).get_context_data(**kwargs)
context['hide_solved'] = int(self.hide_solved)
result = Submission.objects.filter(user=self.object, points__gt=0, problem__is_public=True) \
.exclude(problem__id__in=self.get_completed_problems() if self.hide_solved else []) \
.values('problem__id', 'problem__code', 'problem__name', 'problem__points', 'problem__group__full_name') \
.distinct().annotate(points=Max('points')).order_by('problem__group__full_name', 'problem__code')
context['best_submissions'] = remap_keys(
result, {
'problem__code': 'code',
'problem__name': 'name',
'problem__points': 'total',
'problem__group__full_name': 'group'
})
context['authored'] = self.object.authored_problems.filter(
is_public=True).order_by('code')
rating = self.object.ratings.order_by('-contest__end_time')[:1]
context['rating'] = rating[0] if rating else None
context['rank'] = Profile.objects.filter(
performance_points__gt=self.object.performance_points).count() + 1
breakdown, has_more = get_pp_breakdown(self.object, start=0, end=10)
context['pp_breakdown'] = breakdown
context['pp_has_more'] = has_more
if rating:
context['rating_rank'] = Profile.objects.filter(
rating__gt=self.object.rating).count() + 1
context['rated_users'] = Profile.objects.filter(
rating__isnull=False).count()
context.update(
self.object.ratings.aggregate(min_rating=Min('rating'),
max_rating=Max('rating'),
contests=Count('contest')))
return context
