def karma(self, kind, sr = None):
from subreddit import Subreddit
suffix = '_' + kind + '_karma'
#if no sr, return the sum
if sr is None:
total = 0
for k, v in self._t.iteritems():
if k.endswith(suffix):
if kind == 'link':
try:
karma_sr_name = k[0:k.rfind(suffix)]
karma_sr = Subreddit._by_name(karma_sr_name)
multiplier = karma_sr.post_karma_multiplier
except NotFound:
multiplier = 1
else:
multiplier = 1
total += v * multiplier
return total
else:
try:
return getattr(self, sr.name + suffix)
except AttributeError:
#if positive karma elsewhere, you get min_up_karma
if self.karma(kind) > 0:
return g.MIN_UP_KARMA
else:
return 0
def karma(self, kind, sr=None):
from subreddit import Subreddit
suffix = "_" + kind + "_karma"
# if no sr, return the sum
if sr is None:
total = 0
for k, v in self._t.iteritems():
if k.endswith(suffix):
if kind == "link":
try:
karma_sr_name = k[0 : k.rfind(suffix)]
karma_sr = Subreddit._by_name(karma_sr_name)
multiplier = karma_sr.post_karma_multiplier
except NotFound:
multiplier = 1
else:
multiplier = 1
total += v * multiplier
return total
else:
try:
return getattr(self, sr.name + suffix)
except AttributeError:
# if positive karma elsewhere, you get min_up_karma
if self.karma(kind) > 0:
return g.MIN_UP_KARMA
else:
return 0
def karma_ups_downs(self, kind, sr=None):
# NOTE: There is a legacy inconsistency in this method. If no subreddit
# is specified, karma from all subreddits will be totaled, with each
# scaled according to its karma multiplier before being summed. But if
# a subreddit IS specified, the return value will NOT be scaled.
assert kind in ('link', 'comment', 'adjustment')
from subreddit import Subreddit # prevent circular import
# If getting karma for a single sr, it's easy
if sr is not None:
ups = getattr(self, 'karma_ups_{0}_{1}'.format(kind, sr.name), 0)
downs = getattr(self, 'karma_downs_{0}_{1}'.format(kind, sr.name),
0)
return (ups, downs)
# Otherwise, loop through attributes and sum all karmas
totals = [0, 0]
for k, v in self._t.iteritems():
for pre, idx in (('karma_ups_' + kind + '_', 0),
('karma_downs_' + kind + '_', 1)):
if k.startswith(pre):
karma_sr_name = k[len(pre):]
index = idx
break
else:
continue
multiplier = 1
if kind == 'link':
try:
karma_sr = Subreddit._by_name(karma_sr_name)
multiplier = karma_sr.post_karma_multiplier
except NotFound:
pass
totals[index] += v * multiplier
return tuple(totals)
def karma_ups_downs(self, kind, sr = None):
# NOTE: There is a legacy inconsistency in this method. If no subreddit
# is specified, karma from all subreddits will be totaled, with each
# scaled according to its karma multiplier before being summed. But if
# a subreddit IS specified, the return value will NOT be scaled.
assert kind in ('link', 'comment', 'adjustment')
from subreddit import Subreddit # prevent circular import
# If getting karma for a single sr, it's easy
if sr is not None:
ups = getattr(self, 'karma_ups_{0}_{1}'.format(kind, sr.name), 0)
downs = getattr(self, 'karma_downs_{0}_{1}'.format(kind, sr.name), 0)
return (ups, downs)
# Otherwise, loop through attributes and sum all karmas
totals = [0, 0]
for k, v in self._t.iteritems():
for pre, idx in (('karma_ups_' + kind + '_', 0),
('karma_downs_' + kind + '_', 1)):
if k.startswith(pre):
karma_sr_name = k[len(pre):]
index = idx
break
else:
continue
multiplier = 1
if kind == 'link':
try:
karma_sr = Subreddit._by_name(karma_sr_name)
multiplier = karma_sr.post_karma_multiplier
except NotFound:
pass
totals[index] += v * multiplier
return tuple(totals)
