def view_bets(request):
completed_matches = Match.objects.filter(paid_out=True)
completed_bets = Bet.objects.filter(match__in=completed_matches, user=request.user).order_by('-match__date')
pending_matches = Match.objects.filter(paid_out=False)
pending_bets = Bet.objects.filter(match__in=pending_matches, user=request.user).order_by('match__date')
for bet in pending_bets:
bet.locked = bet.match.date <= scrape.get_current_date()
return render(request, 'view_bets.html', {
'completed_bets': completed_bets,
'pending_bets': pending_bets,
})
def upcoming_matches(request):
upcoming_matches = Match.objects.filter(date__lt=(scrape.get_current_date() + datetime.timedelta(days=7)), date__gt=(scrape.get_current_date())).order_by('date')
upcoming_matches = upcoming_matches[:20]
for upcoming_match in upcoming_matches:
if not upcoming_match.has_rating():
scrape.set_prediction(upcoming_match)
if request.user.is_authenticated():
bet = Bet.objects.filter(user=request.user, match=upcoming_match)
if bet.exists():
upcoming_match.current_users_bet = bet.first()
return render(request, 'upcoming_matches.html', {
'upcoming_matches': upcoming_matches
})
def flush_users(request):
if request.user.is_authenticated() and request.user.is_staff:
User.objects.filter(is_staff=False).delete()
matches = Match.objects.filter(date__lte=(scrape.get_current_date()) + datetime.timedelta(days=2),date__gte=(scrape.get_current_date() - datetime.timedelta(days=2)))
for match in matches:
match.team1_score = None
match.team2_score = None
match.paid_out = False
match.save()
Bet.objects.all().delete()
users = User.objects.all()
for user in users:
user.profile.balance = 10000000000
user.profile.save()
scrape.update_day_forward(False)
scrape.generate_historical_predictions()
return redirect('admin:index')
return HttpResponseForbidden()
def match_history(request):
return render(request, 'match_history.html', {
'past_matches': Match.objects.filter(date__lte=scrape.get_current_date()).order_by('-date'),
})