def collect_stats(session):
# Get the congress and start/end dates of the session that this corresponds to.
for congress, s, startdate, enddate in us.get_all_sessions():
if s == session:
break
else:
raise ValueError("Invalid session: " + session)
# Who was serving on the last day of the session?
people = [(r.person, r) for r in PersonRole.objects
.filter(
role_type__in=(RoleType.representative, RoleType.senator),
startdate__lt=enddate, # use __lt and not __lte in case of multiple roles on the same day
enddate__gte=enddate, # use __lte in case anyone's term ended exactly on this day
)
.select_related("person")]
# Do a sponsorship analysis for bills in this session only.
run_sponsorship_analysis(people, congress, startdate, enddate)
# Get the committee members.
from bill.prognosis import load_committee_membership
committee_membership = load_committee_membership(congress)
# Pre-fetch all of the votes in this session.
votes_this_year = Vote.objects.filter(congress=congress, session=session)
votes_this_year = {
RoleType.representative: set(votes_this_year.filter(chamber=CongressChamber.house).values_list("id", flat=True)),
RoleType.senator: set(votes_this_year.filter(chamber=CongressChamber.senate).values_list("id", flat=True)),
}
# Generate raw statistics.
AllStats = { }
for person, role in people:
AllStats[person.id] = {
"id": person.id,
"role_id": role.id,
"role_type": role.role_type,
"role_start": role.startdate.isoformat(),
"role_end": role.enddate.isoformat(),
"stats": { },
"cohorts": get_cohorts(person, role, congress, session, committee_membership),
}
stats = AllStats[person.id]["stats"]
get_vote_stats(person, role, stats, votes_this_year)
get_sponsor_stats(person, role, stats, congress, startdate, enddate, committee_membership)
get_cosponsor_stats(person, role, stats, congress, startdate, enddate)
get_cosponsored_stats(person, role, stats, congress, startdate, enddate)
get_sponsorship_analysis_stats(person, role, stats)
get_committee_stats(person, role, stats, committee_membership)
get_transparency_stats(person, role, stats, congress, startdate, enddate)
return AllStats
def collect_stats(session):
# Get the congress and start/end dates of the session that this corresponds to.
if int(session) < 1000:
# Specifies a Congress.
congress = int(session)
session = None
is_full_congress_stats = True
# Get the last session in the Congress.
for c, s, x, y in us.get_all_sessions():
if c == congress:
session2 = s
last_day_of_session = y
# Dummy dates. Don't want to use the congress dates because a bill can be
# enacted after the end of the Congress.
startdate = datetime.date.min
enddate = datetime.date.max
else:
is_full_congress_stats = False
session2 = session
for congress, s, startdate, enddate in us.get_all_sessions():
if s == session:
break
else:
raise ValueError("Invalid session: " + session)
last_day_of_session = enddate
# Who was serving on the last day of the session?
people = [(r.person, r) for r in PersonRole.objects
.filter(
role_type__in=(RoleType.representative, RoleType.senator),
startdate__lt=last_day_of_session, # use __lt and not __lte in case of multiple roles on the same day
enddate__gte=last_day_of_session, # use __lte in case anyone's term ended exactly on this day
)
.select_related("person")]
# Do a sponsorship analysis for bills in this session only.
run_sponsorship_analysis(people, congress, startdate, enddate)
# Get the committee members.
from bill.prognosis import load_committee_membership
committee_membership = load_committee_membership(congress)
# Pre-fetch all of the votes in this session.
votes_this_year = Vote.objects.filter(congress=congress)
if session:
votes_this_year = votes_this_year.filter(session=session)
votes_this_year = {
RoleType.representative: set(votes_this_year.filter(chamber=CongressChamber.house).values_list("id", flat=True)),
RoleType.senator: set(votes_this_year.filter(chamber=CongressChamber.senate).values_list("id", flat=True)),
}
# Generate raw statistics.
AllStats = { }
for person, role in people:
AllStats[person.id] = {
"id": person.id,
"role_id": role.id,
"role_type": role.role_type,
"role_start": role.startdate.isoformat(),
"role_end": role.enddate.isoformat(),
"stats": { },
"cohorts": get_cohorts(person, role, congress, session2, committee_membership),
}
stats = AllStats[person.id]["stats"]
get_vote_stats(person, role, stats, votes_this_year)
get_sponsor_stats(person, role, stats, congress, startdate, enddate, committee_membership)
get_cosponsor_stats(person, role, stats, congress, startdate, enddate)
get_cosponsored_stats(person, role, stats, congress, startdate, enddate)
get_sponsorship_analysis_stats(person, role, stats)
get_committee_stats(person, role, stats, committee_membership)
get_transparency_stats(person, role, stats, congress, startdate, enddate)
return AllStats, congress, is_full_congress_stats
def collect_stats(session):
# Get the congress and start/end dates of the session that this corresponds to.
for congress, s, startdate, enddate in us.get_all_sessions():
if s == session:
break
else:
raise ValueError("Invalid session: " + session)
# Who was serving on the last day of the session?
people = [
(r.person, r) for r in PersonRole.objects.filter(
role_type__in=(RoleType.representative, RoleType.senator),
startdate__lt=
enddate, # use __lt and not __lte in case of multiple roles on the same day
enddate__gte=
enddate, # use __lte in case anyone's term ended exactly on this day
).select_related("person")
]
# Do a sponsorship analysis for bills in this session only.
run_sponsorship_analysis(people, congress, startdate, enddate)
# Get the committee members.
from bill.prognosis import load_committee_membership
committee_membership = load_committee_membership(congress)
# Pre-fetch all of the votes in this session.
votes_this_year = Vote.objects.filter(congress=congress, session=session)
votes_this_year = {
RoleType.representative:
set(
votes_this_year.filter(chamber=CongressChamber.house).values_list(
"id", flat=True)),
RoleType.senator:
set(
votes_this_year.filter(chamber=CongressChamber.senate).values_list(
"id", flat=True)),
}
# Generate raw statistics.
AllStats = {}
for person, role in people:
AllStats[person.id] = {
"id":
person.id,
"role_id":
role.id,
"role_type":
role.role_type,
"role_start":
role.startdate.isoformat(),
"role_end":
role.enddate.isoformat(),
"stats": {},
"cohorts":
get_cohorts(person, role, congress, session, committee_membership),
}
stats = AllStats[person.id]["stats"]
get_vote_stats(person, role, stats, votes_this_year)
get_sponsor_stats(person, role, stats, congress, startdate, enddate,
committee_membership)
get_cosponsor_stats(person, role, stats, congress, startdate, enddate)
get_cosponsored_stats(person, role, stats, congress, startdate,
enddate)
get_sponsorship_analysis_stats(person, role, stats)
get_committee_stats(person, role, stats, committee_membership)
get_transparency_stats(person, role, stats, congress, startdate,
enddate)
return AllStats
