def record_balance(answer, winner, dota_id=None):
from app.ladder.models import Player, Match, MatchPlayer
from app.ladder.models import LadderSettings
players = [p[0] for t in answer.teams for p in t['players']]
players = Player.objects.filter(name__in=players)
# check that all players from balance exist
# (we don't allow CustomBalance results here)
if len(players) < 10:
return None
with transaction.atomic():
match = Match.objects.create(
winner=winner,
balance=answer,
season=LadderSettings.get_solo().current_season,
dota_id=dota_id,
)
for i, team in enumerate(answer.teams):
for player in team['players']:
player = next(p for p in players if p.name == player[0])
MatchPlayer.objects.create(match=match,
player=player,
team=i)
MatchManager.add_scores(match)
Player.objects.update_ranks()
return match
def score_history(self):
player = self.object
season = LadderSettings.get_solo().current_season
score_changes = player.scorechange_set.filter(season=season)\
.select_related(
'match', 'match__match',
'match__match__balance', 'match__match__balance__result'
)
max_vals = Player.objects\
.filter(matchplayer__match__season=season).distinct()\
.aggregate(Max('score'), Max('ladder_mmr'))
score_max = max(1, max_vals['score__max'] or player.score)
mmr_max = max(1, max_vals['ladder_mmr__max'] or player.score)
score = mmr = 0
for scoreChange in reversed(score_changes):
score += scoreChange.score_change
mmr += scoreChange.mmr_change
scoreChange.score = score
scoreChange.mmr = mmr
scoreChange.score_percent = float(score) / score_max * 100
scoreChange.mmr_percent = float(mmr) / mmr_max * 100
return score_changes
def handle(self, *args, **options):
with transaction.atomic():
ladder = LadderSettings.get_solo()
ladder.current_season += 1
ladder.save()
for player in Player.objects.all():
PlayerManager.init_score(player)
def get_object(self, queryset=None):
player = super(PlayerDetail, self).get_object(queryset)
season = LadderSettings.get_solo().current_season
player.matches = player.matchplayer_set\
.filter(match__season=season)\
.select_related('match')
return player
def get_queryset(self):
qs = super(MatchList, self).get_queryset()
season = LadderSettings.get_solo().current_season
qs = qs.filter(matchplayer__match__season=season).distinct()\
.prefetch_related(Prefetch(
'matchplayer_set',
queryset=MatchPlayer.objects.select_related('match')
))
return qs
def add_scores(match):
from app.ladder.models import ScoreChange
from app.ladder.models import LadderSettings
# TODO: make values like win/loss change and underdog bonus changeble in admin panel
mmr_diff = match.balance.teams[0]['mmr'] - match.balance.teams[1]['mmr']
underdog = 0 if mmr_diff <= 0 else 1
underdog_bonus = abs(
mmr_diff
) // MatchManager.underdog_diff * 15 # 15 mmr points for each 200 mmr diff
underdog_bonus = min(15, underdog_bonus) # but no more than 15 mmr
print('mmr diff: %d' % mmr_diff)
print('underdog: %d' % underdog)
print('underdog bonus: %d' % underdog_bonus)
print('')
for matchPlayer in match.matchplayer_set.all():
is_victory = 1 if matchPlayer.team == match.winner else -1
is_underdog = 1 if matchPlayer.team == underdog else -1
score_change = 1 * is_victory
mmr_per_game = LadderSettings.get_solo().mmr_per_game
mmr_change = mmr_per_game * is_victory
mmr_change += underdog_bonus * is_underdog
use_boundary = False # TODO: get this values from LadderSettings
if use_boundary:
# make sure new ladder mmr is in boundaries
player = matchPlayer.player
new_mmr = player.ladder_mmr + mmr_change
new_mmr = max(player.min_allowed_mmr,
min(new_mmr, player.max_allowed_mmr))
mmr_change = new_mmr - player.ladder_mmr
ScoreChange.objects.create(
player=matchPlayer.player,
score_change=score_change,
mmr_change=mmr_change,
match=matchPlayer,
season=LadderSettings.get_solo().current_season,
)
def handle(self, *args, **options):
with transaction.atomic():
for player in Player.objects.all():
mmr_diff = player.dota_mmr - player.ladder_mmr
ScoreChange.objects.create(
player=player,
mmr_change=mmr_diff,
info='Updated MMR system',
season=LadderSettings.get_solo().current_season,
)
def score_change(instance, **kwargs):
player = instance.player
season = LadderSettings.get_solo().current_season
vals = player.scorechange_set.filter(season=season).aggregate(
Sum('mmr_change'), Sum('score_change'))
player.ladder_mmr = vals['mmr_change__sum']
player.score = vals['score_change__sum']
player.save()
def balance_custom(teams):
from app.balancer.models import BalanceAnswer
mmr_exponent = LadderSettings.get_solo().balance_exponent
answer = balance_from_teams(teams, mmr_exponent)
answer = BalanceAnswer.objects.create(
teams=answer['teams'],
mmr_diff=answer['mmr_diff'],
mmr_diff_exp=answer['mmr_diff_exp'],
)
return answer
def get_context_data(self, **kwargs):
context = super(LadderStats, self).get_context_data(**kwargs)
all_time = Match.objects.all()
this_season = Match.objects.filter(
season=LadderSettings.get_solo().current_season)
last_days = Match.objects.filter(date__gte=datetime.now() -
timedelta(days=3))
context.update({
'all_time': self.get_stats(all_time),
'this_season': self.get_stats(this_season),
'last_days': self.get_stats(last_days),
})
return context
def init_score(player, reset_mmr=False):
from app.ladder.models import ScoreChange
from app.ladder.models import LadderSettings
if reset_mmr:
initial_mmr = PlayerManager.dota_to_ladder_mmr(player.dota_mmr)
else:
# take mmr from last season
initial_mmr = player.ladder_mmr
ScoreChange.objects.create(
player=player,
score_change=25,
mmr_change=initial_mmr,
info='Season started',
season=LadderSettings.get_solo().current_season,
)
player.min_allowed_mmr = initial_mmr - 1000
player.max_allowed_mmr = initial_mmr + 1000
player.save()
def balance_teams(players, role_balancing=True):
from app.balancer.models import BalanceResult, BalanceAnswer
# balance teams and save result
# TODO: make mmr_exponent changable from admin panel
mmr_exponent = LadderSettings.get_solo().balance_exponent
if role_balancing:
answers = role_balance_teams(players, mmr_exponent)
else:
players = [(p.name, p.ladder_mmr) for p in players]
answers = balance_teams(players, mmr_exponent)
with transaction.atomic():
result = BalanceResult.objects.create(mmr_exponent=mmr_exponent)
for answer in answers:
BalanceAnswer.objects.create(
teams=answer['teams'],
mmr_diff=answer['mmr_diff'],
mmr_diff_exp=answer['mmr_diff_exp'],
result=result)
return result
def update_ranks(self):
from app.ladder.models import LadderSettings
# recalculate player rankings by particular field (ladder_mmr or score)
def update_ranks_by(field):
players.sort(key=lambda p: getattr(p, field), reverse=True)
ranks = [1]
for i in range(1, len(players)):
curr_val = getattr(players[i], field)
prev_val = getattr(players[i - 1], field)
ranks.append(ranks[i - 1] if curr_val == prev_val else i + 1)
for i, player in enumerate(players):
setattr(player, f'rank_{field}', ranks[i])
player.save()
season = LadderSettings.get_solo().current_season
players = self.filter(matchplayer__match__season=season).distinct()
players = players or self.all()
players = list(players) # evaluate
update_ranks_by('ladder_mmr')
update_ranks_by('score')