def get_formatted_stats(self, fmt, user=None):
stats = self.get_stats(user=user, rename_users=True, load_users=False)
if fmt == 'json':
return json.dumps(stats, indent=1)
elif fmt in ('text', 'html'):
return BallotCounter.stats_as_text(stats)
elif fmt in ('xlsx', 'ods'):
return BallotCounter.stats_as_spreadsheet(fmt, stats)
else:
return None
def get_formatted_stats(self, fmt, user=None):
stats = self.get_stats(user=user, rename_users=True, load_users=False)
if fmt == 'json':
return json.dumps(stats, indent=1)
elif fmt in ('text', 'html'):
return BallotCounter.stats_as_text(stats)
elif fmt in ('xlsx', 'ods'):
return BallotCounter.stats_as_spreadsheet(fmt, stats)
else:
return None
def load_archived_ballots(self):
bc = BallotCounter()
if settings.BALLOT_SAVEFILE_FORMAT is not None:
try:
filename = settings.BALLOT_SAVEFILE_FORMAT % {
'election_id': self.id,
'voting_system': self.voting_system}
bc.load_ballots(filename)
except:
import traceback
traceback.print_exc()
return bc
def load_archived_ballots(self):
bc = BallotCounter()
if settings.BALLOT_SAVEFILE_FORMAT is not None:
try:
filename = settings.BALLOT_SAVEFILE_FORMAT % {
'election_id': self.id,
'voting_system': self.voting_system
}
bc.load_ballots(filename)
except:
import traceback
traceback.print_exc()
return bc
def process_votes(self):
if self.deadline_joined_org:
votes = ElectionVote.objects.select_related('candidate__user').filter(election=self, user__userprofile__joined_org__lt = self.deadline_joined_org)
else:
votes = ElectionVote.objects.select_related('candidate__user').filter(election=self)
votemap = {}
for vote in votes:
if not votemap.has_key(vote.user_id):
votemap[vote.user_id] = []
votemap[vote.user_id].append(vote)
ballots = []
for user_id in votemap:
ballot = [(int(v.value), v.candidate) for v in votemap[user_id]]
ballots.append(ballot)
ballot_counter = BallotCounter(ballots)
return ballot_counter.results(self.voting_system), ballot_counter
def process_votes(self):
if self.deadline_joined_org:
votes = ElectionVote.objects.select_related(
'candidate__user').filter(
election=self,
user__userprofile__joined_org__lt=self.deadline_joined_org)
else:
votes = ElectionVote.objects.select_related(
'candidate__user').filter(election=self)
votemap = {}
for vote in votes:
if not votemap.has_key(vote.user_id):
votemap[vote.user_id] = []
votemap[vote.user_id].append(vote)
ballots = []
for user_id in votemap:
ballot = [(int(v.value), v.candidate) for v in votemap[user_id]]
ballots.append(ballot)
ballot_counter = BallotCounter(ballots)
return ballot_counter.results(self.voting_system), ballot_counter
def get_stats(self, user=None, load_users=True, rename_users=False):
"""Load stats from the DB and convert to pythonic format.
We expect stats to change over time, so the function provides
reasonable defaults for everything we care about even if the
JSON turns out to be incomplete. Changes to our stats logic will
not require a schema change, but stats cannot readily be queried.
Pros and cons...
"""
stats = {
'ranking_matrix': [],
'pairwise_matrix': [],
'candidates': [],
'ballot_lengths': {},
'ballots': 0,
'ballot_length_average': 0,
'ballot_length_most_common': 0}
# Parse the stats JSON, if it exists.
try:
stats.update(json.loads(self.stats))
except:
pass
# Convert ballot_lengths keys (back) to ints
for k in stats['ballot_lengths'].keys():
stats['ballot_lengths'][int(k)] = stats['ballot_lengths'][k]
del stats['ballot_lengths'][k]
# Censor the statistics, if we only want to publish details about
# the top N candidates.
if self.stats_limit:
excluded = set([])
if not user or not user.is_staff:
excluded |= set(cand.user.username for cand in
self.get_winners()[self.stats_limit:])
if user and user.username in excluded:
excluded.remove(user.username)
stats = BallotCounter.exclude_candidate_stats(stats, excluded)
# Convert usernames to users. Let's hope usernames never change!
for i, c in enumerate(stats['candidates']):
try:
if not c:
pass
elif load_users:
stats['candidates'][i] = User.objects.get(username=c)
elif rename_users:
u = User.objects.get(username=c)
stats['candidates'][i] = '%s (%s)' % (u.get_name(), c)
except:
pass
# Create more accessible representations of the tables
stats['rankings'] = {}
stats['victories'] = {}
for i, c in enumerate(stats['candidates']):
if stats.get('ranking_matrix'):
stats['rankings'][c] = stats['ranking_matrix'][i]
if stats.get('pairwise_matrix'):
stats['victories'][c] = stats['pairwise_matrix'][i]
return stats
def get_stats(self, user=None, load_users=True, rename_users=False):
"""Load stats from the DB and convert to pythonic format.
We expect stats to change over time, so the function provides
reasonable defaults for everything we care about even if the
JSON turns out to be incomplete. Changes to our stats logic will
not require a schema change, but stats cannot readily be queried.
Pros and cons...
"""
stats = {
'ranking_matrix': [],
'pairwise_matrix': [],
'candidates': [],
'ballot_lengths': {},
'ballots': 0,
'ballot_length_average': 0,
'ballot_length_most_common': 0
}
# Parse the stats JSON, if it exists.
try:
stats.update(json.loads(self.stats))
except:
pass
# Convert ballot_lengths keys (back) to ints
for k in stats['ballot_lengths'].keys():
stats['ballot_lengths'][int(k)] = stats['ballot_lengths'][k]
del stats['ballot_lengths'][k]
# Censor the statistics, if we only want to publish details about
# the top N candidates.
if self.stats_limit:
excluded = set([])
if not user or not user.is_staff:
excluded |= set(
cand.user.username
for cand in self.get_winners()[self.stats_limit:])
if user and user.username in excluded:
excluded.remove(user.username)
stats = BallotCounter.exclude_candidate_stats(stats, excluded)
# Convert usernames to users. Let's hope usernames never change!
for i, c in enumerate(stats['candidates']):
try:
if not c:
pass
elif load_users:
stats['candidates'][i] = User.objects.get(username=c)
elif rename_users:
u = User.objects.get(username=c)
stats['candidates'][i] = '%s (%s)' % (u.get_name(), c)
except:
pass
# Create more accessible representations of the tables
stats['rankings'] = {}
stats['victories'] = {}
for i, c in enumerate(stats['candidates']):
if stats.get('ranking_matrix'):
stats['rankings'][c] = stats['ranking_matrix'][i]
if stats.get('pairwise_matrix'):
stats['victories'][c] = stats['pairwise_matrix'][i]
return stats
