def tweet_votes_yday(self, if_major):
# Tweet count of votes yesterday, by vote type if there were any major votes.
from vote.models import Vote, VoteCategory
votes = Vote.objects.filter(
created__gte=timezone.now().date() - timedelta(days=1),
created__lt=timezone.now().date(),
)
if votes.count() == 0: return
has_major = len([v for v in votes if v.is_major]) > 0
if not has_major and if_major: return
if not has_major:
count = votes.count()
msg = "%d minor vote%s held by Congress yesterday." % (
count,
"s were" if count != 1 else " was",
)
else:
counts = defaultdict(lambda: 0)
for v in votes:
counts[v.category] += 1
counts = list(counts.items())
counts.sort(key=lambda kv:
(VoteCategory.by_value(kv[0]).importance, -kv[1]))
msg = "Votes held by Congress yesterday: " + ", ".join(
str(value) + " on " + VoteCategory.by_value(key).label
for key, value in counts)
self.post_tweet("%s:votes" % timezone.now().date().isoformat(), msg,
"https://www.govtrack.us/congress/votes")
def tweet_votes_yday(self, if_major):
# Tweet count of votes yesterday, by vote type if there were any major votes.
from vote.models import Vote, VoteCategory
votes = Vote.objects.filter(
created__gte=timezone.now().date()-timedelta(days=1),
created__lt=timezone.now().date(),
)
if votes.count() == 0: return
has_major = len([v for v in votes if v.is_major]) > 0
if not has_major and if_major: return
if not has_major:
msg = "%d vote%s held by Congress yesterday." % (
votes.count(),
"s were" if count != 1 else " was",
)
else:
counts = defaultdict(lambda : 0)
for v in votes:
counts[v.category] += 1
counts = list(counts.items())
counts.sort(key = lambda kv : (VoteCategory.by_value(kv[0]).importance, -kv[1]))
msg = "Votes held by Congress yesterday: " + ", ".join(
str(value) + " on " + VoteCategory.by_value(key).label
for key, value in counts
)
self.post_tweet(
"%s:votes" % timezone.now().date().isoformat(),
msg,
"https://www.govtrack.us/congress/votes")
def get_context_data(self, **kwargs):
"""Insert the form into the context dict."""
if 'categories' not in kwargs:
kwargs['categories'] = VoteCategory.eligible_category(
self.request.user)
return super().get_context_data(**kwargs)
from django import forms
from vote.models import Vote, CongressChamber, VoteCategory
YEARS = [('', 'Any')] + [(x, str(x)) for x in range(2011, 1788, -1)]
CHAMBERS = [('', 'Any')] + CongressChamber.choices()
CATEGORIES = [('', 'Any')] + VoteCategory.choices()
YEAR_FIELD = forms.ChoiceField(choices=YEARS, required=False)
class VoteFilterForm(forms.Form):
year = forms.ChoiceField(choices=YEARS, required=False)
chamber = forms.ChoiceField(choices=CHAMBERS, required=False)
category = forms.ChoiceField(choices=CATEGORIES, required=False)
def filter(self, qs):
data = self.cleaned_data
if data['year']:
qs = qs.filter(created__year=data['year'])
if data['chamber']:
qs = qs.filter(chamber=data['chamber'])
if data['category']:
qs = qs.filter(category=data['category'])
return qs
else:
state_pop_year = { state: pop for (state, year), pop in state_pop.items() if year == pop_year }
# Sum up the total population represented by each vote option # (i.e. yes/no),
# apportioning the population of each state evenly across the legislators representing
# that state who voted. Also just count total yes/no/not voting votes.
pop_by_option = defaultdict(lambda : 0)
count_by_option = defaultdict(lambda : 0)
for option, state, personid in votes:
if state == "": continue # Vice President's tie-breaker
if state not in state_pop_year: continue # one of the island territories, for which we don't have population data
pop_by_option[option] += state_pop_year[state] / legislators_per_state[state]
count_by_option[option] += 1
# Skip votes where the ayes were in the minority. Those votes represent failed outcomes. We're
# only interested in the legitimacy of actual outcomes.
if "+" not in pop_by_option or count_by_option["+"] < count_by_option.get("-", 0):
continue
# get the % of yes voters and % of the country's population represented by those voters
count_percent_yea = count_by_option["+"]/(count_by_option["+"] + count_by_option.get("-", 0))
pop_percent_yea = pop_by_option["+"]/(pop_by_option["+"] + pop_by_option.get("-", 0)) # of those voting
pop_percent_yea_of_total = pop_by_option["+"]/sum(pop_by_option.values()) # of sworn senators
# print
W.writerow([vote.congress, vote.session if len(vote.session) == 4 else vote.created.year, vote.created.isoformat(),
vote.chamber_name, VoteCategory.by_value(vote.category).key, str(vote),
percent(count_percent_yea), percent(pop_percent_yea), percent(pop_percent_yea_of_total),
"https://www.govtrack.us"+vote.get_absolute_url()])
def addCategory(request):
resp = {}
app = VoteApplication.objects.filter(id=request.GET.get('appid'))
if (app.count() == 0):
resp['code'] = 'application does not exist. check code'
return HttpResponse(json.dumps(resp), content_type='application/json')
else:
app = app[0]
user = VoteUser.objects.filter(userkey=request.GET.get('userkey'))[0]
if (user is None):
resp['code'] = 'authentication error'
return HttpResponse(json.dumps(resp), content_type='application/json')
cat = VoteCategory()
cat.color = request.GET.get('color')
cat.name = request.GET.get('name')
cat.parent = VoteCategory.objects.filter(id=request.GET.get('parentid'))[0]
cat.catType = request.GET.get('catType') # cat.parent.catType
cat.languageCode = request.GET.get('lang')
cat.creation = datetime.now()
cat.creator = user
cat.application = app
cat.save()
resp['id'] = cat.id
return HttpResponse(json.dumps(resp), content_type='application/json')
def createRootCategory(lang, app, parent, user):
cat = VoteCategory()
cat.name = app.name
cat.parent = parent
cat.catType = -1 # cat.parent.catType -
cat.languageCode = lang
cat.creation = datetime.now()
cat.creator = user
cat.application = app
cat.save()
cat.parent = cat
cat.save()
# Get the total U.S. population in this time. Interpolate (or beyond the last year, extrapolate).
country_population = us_pop_at(pop_year)
# Sum up the total population represented by each vote option # (i.e. yes/no),
# apportioning the population of each state evenly across the legislators representing
# that state who voted. Also just count total yes/no/not voting votes.
pop_by_option = defaultdict(lambda : 0)
count_by_option = defaultdict(lambda : 0)
for option, state, personid in votes:
if state == "": continue # Vice President's tie-breaker
if option not in ("+", "-"): continue # we only care about voting legislators
pop_by_option[option] += state_pop_year[state] / voting_legislators_per_state[state]
count_by_option[option] += 1
# Skip votes where the ayes were in the minority. Those votes represent failed outcomes. We're
# only interested in the legitimacy of actual outcomes.
if "+" not in pop_by_option or count_by_option["+"] < count_by_option.get("-", 0):
continue
# get the % of yes voters out of senators voting and out of the country's population as a whole
count_percent_yea = count_by_option["+"] / (count_by_option["+"] + count_by_option.get("-", 0))
statepop_percent_yea = pop_by_option["+"] / state_pop_total
uspop_percent_yea = pop_by_option["+"] / country_population
# print
W.writerow([vote.congress, vote.session if len(vote.session) == 4 else vote.created.year, vote.created.isoformat(),
VoteCategory.by_value(vote.category).key, str(vote),
percent(count_percent_yea), percent(statepop_percent_yea), percent(uspop_percent_yea),
"https://www.govtrack.us"+vote.get_absolute_url()])
else:
state_pop_year = { state: pop for (state, year), pop in state_pop.items() if year == pop_year }
# Sum up the total population represented by each vote option # (i.e. yes/no),
# apportioning the population of each state evenly across the legislators representing
# that state who voted. Also just count total yes/no/not voting votes.
pop_by_option = defaultdict(lambda : 0)
count_by_option = defaultdict(lambda : 0)
for option, state, personid in votes:
if state == "": continue # Vice President's tie-breaker
if state not in state_pop_year: continue # one of the island territories, for which we don't have population data
pop_by_option[option] += state_pop_year[state] / legislators_per_state[state]
count_by_option[option] += 1
# Skip votes where the ayes were in the minority. Those votes represent failed outcomes. We're
# only interested in the legitimacy of actual outcomes.
if "+" not in pop_by_option or count_by_option["+"] < count_by_option.get("-", 0):
continue
# get the % of yes voters and % of the country's population represented by those voters
count_percent_yea = count_by_option["+"]/(count_by_option["+"] + count_by_option.get("-", 0))
pop_percent_yea = pop_by_option["+"]/(pop_by_option["+"] + pop_by_option.get("-", 0)) # of those voting
pop_percent_yea_of_total = pop_by_option["+"]/sum(pop_by_option.values()) # of sworn senators
# print
W.writerow([vote.congress, vote.session if len(vote.session) == 4 else vote.created.year, vote.created.isoformat(),
vote.chamber_name, VoteCategory.by_value(vote.category).key, str(vote),
percent(count_percent_yea), percent(pop_percent_yea), percent(pop_percent_yea_of_total),
"https://www.govtrack.us"+vote.get_absolute_url()])
from django import forms
from vote.models import Vote, CongressChamber, VoteCategory
YEARS = [('', 'Any')] + [(x, str(x)) for x in xrange(2011, 1788, -1)]
CHAMBERS = [('', 'Any')] + CongressChamber.choices()
CATEGORIES = [('', 'Any')] + VoteCategory.choices()
YEAR_FIELD = forms.ChoiceField(choices=YEARS, required=False)
class VoteFilterForm(forms.Form):
year = forms.ChoiceField(choices=YEARS, required=False)
chamber = forms.ChoiceField(choices=CHAMBERS, required=False)
category = forms.ChoiceField(choices=CATEGORIES, required=False)
def filter(self, qs):
data = self.cleaned_data
if data['year']:
qs = qs.filter(created__year=data['year'])
if data['chamber']:
qs = qs.filter(chamber=data['chamber'])
if data['category']:
qs = qs.filter(category=data['category'])
return qs
