def handle(self, *args, **options):
if not args or (args and args[0] not in ('load')):
raise CommandError("USAGE: ./manage.py %s load" % \
os.path.basename(__file__).split('.')[0])
transaction.enter_transaction_management()
transaction.managed(True)
this_year = utils.getThisYear()
last_year = utils.getLastYear()
table = scrape.parseTable(this_year)
teams_table = []
prev_current = models.getCurrentTable()
for name in table:
teams_table.append(getOrMakeTeam(name))
current = models.LeagueTable(name=settings.CURRENT_LEAGUE_ID,
year=this_year)
current.save()
for t in teams_table:
current.teams.add(t)
current.save()
if prev_current and list(current.ordered_teams) \
== list(prev_current.ordered_teams):
current.delete()
else:
print "table changed"
if not models.getPreviousTable():
previous = models.LeagueTable(name=settings.PREVIOUS_LEAGUE_ID,
year=last_year)
previous.save()
for name in scrape.parseTable(last_year):
previous.teams.add(getOrMakeTeam(name))
previous.save()
print previous
transaction.commit()
def handle(self, *args, **options):
if not args or (args and args[0] not in ('load')):
raise CommandError("USAGE: ./manage.py %s load" % \
os.path.basename(__file__).split('.')[0])
transaction.enter_transaction_management()
transaction.managed(True)
this_year = utils.getThisYear()
last_year = utils.getLastYear()
table = scrape.parseTable(this_year)
teams_table = []
prev_current = models.getCurrentTable()
for name in table:
teams_table.append(getOrMakeTeam(name))
current = models.LeagueTable(name=settings.CURRENT_LEAGUE_ID,
year=this_year)
current.save()
for t in teams_table:
current.teams.add(t)
current.save()
if prev_current and list(current.ordered_teams) \
== list(prev_current.ordered_teams):
current.delete()
else:
print "table changed"
if not models.getPreviousTable():
previous = models.LeagueTable(name=settings.PREVIOUS_LEAGUE_ID,
year=last_year)
previous.save()
for name in scrape.parseTable(last_year):
previous.teams.add(getOrMakeTeam(name))
previous.save()
print previous
transaction.commit()
def handle_noargs(self, **options):
start = time.time()
this_year = getThisYear()
predictions = models.Prediction.objects
now = datetime.datetime.now()
yesterday = now - datetime.timedelta(1)
# we are going to run calculation for all competitions that
# have started, and the date of the competition is after
# yesterday
predictions = predictions.filter(
competition__start_date__lt=now,
competition__competition_date__gt=yesterday).all()
count = 0
done = False
meta_competition = models.Competition.objects.get(
pk=settings.CURRENT_META_COMPETITION_ID)
for p in predictions:
score = p.calculateScore()
p.calculateGoalDiff()
p.needs_update = False
p.save()
if p.included_in_meta_competition == False\
and p.competition.competition_date < now:
running_score, _ = models.RunningScore.objects\
.get_or_create(user=p.user,
competition=meta_competition)
running_score.calculateScore(new_score=p.score)
running_score.calculateGoalDiff(new_goaldiff=p.goaldiff)
p.included_in_meta_competition = True
p.save()
count += 1
date = datetime.date.today()
current = models.getCurrentTable()
for comp in models.Competition.objects\
.filter(competition_date__gt=yesterday):
if comp.prediction_set\
.filter(needs_ordering=True).count():
position = 1
for p in comp.prediction_set.all():
pos, created = models.Position.objects\
.get_or_create(position=position,
date=date)
p.positions.add(pos)
if p.abs_change_on_last_position > 0:
position_changed.send(sender=None, prediction=p)
p.needs_ordering = False
p.save()
position += 1
position = 1
running_scores = comp.runningscore_set.all()
for score in running_scores:
pos, created = models.Position.objects\
.get_or_create(position=position,
date=date)
score.positions.add(pos)
if score.abs_change_on_last_position > 0:
position_changed.send(sender=None, prediction=score)
score.needs_ordering = False
score.save()
position += 1
if count and False:
print "Calculated %d scores in %f seconds" % (count,
time.time() - start)
print "(%f per second)" % (count / (time.time() - start))
def handle_noargs(self, **options):
start = time.time()
this_year = getThisYear()
predictions = models.Prediction.objects
now = datetime.datetime.now()
yesterday = now - datetime.timedelta(1)
# we are going to run calculation for all competitions that
# have started, and the date of the competition is after
# yesterday
predictions = predictions.filter(
competition__start_date__lt=now,
competition__competition_date__gt=yesterday).all()
count = 0
done = False
meta_competition = models.Competition.objects.get(
pk=settings.CURRENT_META_COMPETITION_ID)
for p in predictions:
score = p.calculateScore()
p.calculateGoalDiff()
p.needs_update = False
p.save()
if p.included_in_meta_competition == False\
and p.competition.competition_date < now:
running_score, _ = models.RunningScore.objects\
.get_or_create(user=p.user,
competition=meta_competition)
running_score.calculateScore(
new_score=p.score)
running_score.calculateGoalDiff(
new_goaldiff=p.goaldiff)
p.included_in_meta_competition = True
p.save()
count += 1
date = datetime.date.today()
current = models.getCurrentTable()
for comp in models.Competition.objects\
.filter(competition_date__gt=yesterday):
if comp.prediction_set\
.filter(needs_ordering=True).count():
position = 1
for p in comp.prediction_set.all():
pos, created = models.Position.objects\
.get_or_create(position=position,
date=date)
p.positions.add(pos)
if p.abs_change_on_last_position > 0:
position_changed.send(sender=None,prediction=p)
p.needs_ordering = False
p.save()
position += 1
position = 1
running_scores = comp.runningscore_set.all()
for score in running_scores:
pos, created = models.Position.objects\
.get_or_create(position=position,
date=date)
score.positions.add(pos)
if score.abs_change_on_last_position > 0:
position_changed.send(sender=None,
prediction=score)
score.needs_ordering = False
score.save()
position += 1
if count and False:
print "Calculated %d scores in %f seconds" % (count, time.time() - start)
print "(%f per second)" % (count/(time.time()-start))