def select(request):
"""Renders the candidate selection list.
The link to the voting page for each candidate contains an identifier
which is the result of encrypting the candidate number with a random
session key. The main benefit from this is that the chosen candidate can
not be identified from the used URL. This allows us to use GET requests
instead of POST requests without having to worry about leaking information
in server logs and browser history.
:param request: The currently active request.
:type request: :py:class:`pyramid.request.Request`
:rtype: dict
"""
# Deco Grid positions for the candidate columns.
positions = '0 1:3 2:3'.split()
session = DBSession()
log = logging.getLogger('nuvavaalit')
# Disable caching
request.add_response_callback(disable_caching)
# Require authentication.
voter = authenticated_user(request)
if voter is None:
log.warn('Unauthenticated attempt to select candidates.')
raise HTTPForbidden()
# User should vote only once.
if voter.has_voted():
log.warn('User "{}" attempted to select candidates after voting.'.format(voter.username))
return exit_voting(request)
query = session.query(Candidate)\
.filter(Candidate.number != Candidate.EMPTY_CANDIDATE)\
.order_by(Candidate.number)
candidates = []
for candidate in query.all():
candidates.append({
'name': candidate.fullname(),
'number': candidate.number,
'vote_url': route_url('vote', request, id=encrypt(str(candidate.number), request.session['encryption_key'])),
'image_url': request.static_url('nuvavaalit:views/templates/static/images/candidates/{}.jpg'.format(candidate.number)),
})
return {
'candidates': split_candidates(candidates, len(positions)),
'positions': cycle(positions),
'columns': len(positions),
'empty_vote_url': route_url('vote', request, id=encrypt(str(Candidate.EMPTY_CANDIDATE), request.session['encryption_key'])),
'empty_vote_number': Candidate.EMPTY_CANDIDATE,
}
def test_split_candidates__divisible_by_columns(self):
from nuvavaalit.views.public import split_candidates
candidates = range(12)
columns = list(split_candidates(candidates, 3))
self.assertEquals(4, len(columns))
self.assertEquals(columns, [
[0, 1, 2],
[3, 4, 5],
[6, 7, 8],
[9, 10, 11]])
def test_split_candidate__odd_sized_columns(self):
from nuvavaalit.views.public import split_candidates
candidates = range(13)
columns = list(split_candidates(candidates, 3))
self.assertEquals(5, len(columns))
self.assertEquals(columns, [
[0, 1, 2],
[3, 4, 5],
[6, 7, 8],
[9, 10, 11],
[12]])
def test_split_candidates__boundary_cases(self):
from nuvavaalit.views.public import split_candidates
candidates = range(1)
columns = list(split_candidates(candidates, 3))
self.assertEquals(1, len(columns))
self.assertEquals(columns, [[0]])
candidates = range(2)
columns = list(split_candidates(candidates, 3))
self.assertEquals(1, len(columns))
self.assertEquals(columns, [[0, 1]])
candidates = range(3)
columns = list(split_candidates(candidates, 3))
self.assertEquals(1, len(columns))
self.assertEquals(columns, [[0, 1, 2]])
candidates = range(4)
columns = list(split_candidates(candidates, 3))
self.assertEquals(2, len(columns))
self.assertEquals(columns, [[0, 1, 2], [3]])
