def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'],
item['lastname'], str(date_dob))
fjc_check = Person.objects.filter(
fjc_id=item['Judge Identification Number'])
if len(fjc_check) > 0:
print('Warning: %s exists' % name)
return
pres_check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'],
date_dob=date_dob)
if not testing:
print("Now processing: %s" % name)
if len(pres_check) > 0:
print('%s is a president.' % name)
person = pres_check[0]
person.fjc_id = item['Judge Identification Number']
else:
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] += '.'
# instantiate Judge object
person = Person(name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
add_positions_from_row(item, person, testing)
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(person=person,
school=school,
degree_detail=degtype,
degree_level=deg_level,
degree_year=degyear)
if not testing:
degree.save()
# Non-judicial positions
titles, locations, startyears, endyears = transform_employ(
item['Employment text field'])
titles2, locations2, startyears2, endyears2 = transform_bankruptcy(
item['Bankruptcy and Magistrate service'])
titles = titles + titles2
locations = locations + locations2
startyears = startyears + startyears2
endyears = endyears + endyears2
for i in range(len(titles)):
job_title = titles[i]
if pd.isnull(job_title) or job_title == '' or job_title.startswith(
'Nominated'):
continue
location = locations[i]
start_year = startyears[i]
end_year = endyears[i]
job_title = job_title.strip()
if pd.isnull(start_year) or start_year == '':
#print
#print(name)
#print(job_title,location,start_year,end_year)
#print('No start date.')
continue
else:
try:
start_year = int(start_year)
except:
continue
date_start = date(start_year, 1, 1)
date_start_granularity = GRANULARITY_YEAR
if not pd.isnull(end_year) and end_year.isdigit():
end_year = int(end_year)
date_end = date(end_year, 1, 1)
date_end_granularity = GRANULARITY_YEAR
else:
date_end = None
date_end_granularity = ''
if not pd.isnull(location):
location = location.strip()
if ',' in location:
city, state = [x.strip() for x in location.split(',')]
org = ''
if state in STATES_NORMALIZED.values():
pass
elif state.lower() in STATES_NORMALIZED.keys():
state = STATES_NORMALIZED[state.lower()]
else:
city, state = '', ''
org = location
else:
city, state = '', ''
org = location
# test for schools and courts
else:
city, state, org = '', '', ''
position = Position(person=person,
job_title=job_title,
date_start=date_start,
date_granularity_start=date_start_granularity,
date_termination=date_end,
date_granularity_termination=date_end_granularity,
location_city=city,
location_state=state,
organization_name=org)
if not testing:
try:
position.save()
except Exception, e:
continue
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item["Birth Year"],
item["Birth Month"],
item["Birth Day"])
dob_city = item["Birth City"]
dob_state = item["Birth State"]
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ""
name = "%s: %s %s %s" % (
item["cl_id"],
item["First Name"],
item["Last Name"],
str(date_dob),
)
fjc_check = Person.objects.filter(fjc_id=item["jid"])
if len(fjc_check) > 0:
print("Warning: %s exists" % name)
return
pres_check = Person.objects.filter(
name_first=item["First Name"],
name_last=item["Last Name"],
date_dob=date_dob,
)
if not testing:
print("Now processing: %s" % name)
if len(pres_check) > 0:
print("%s is a president." % name)
person = pres_check[0]
person.fjc_id = item["jid"]
else:
date_dod, date_granularity_dod = process_date(item["Death Year"],
item["Death Month"],
item["Death Day"])
dod_city = item["Death City"]
dod_state = item["Death State"]
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ""
if not pd.isnull(item["Middle Name"]):
if len(item["Middle Name"]) == 1:
item["Middle Name"] += "."
if not pd.isnull(item["Gender"]):
gender = get_gender(item["Gender"])
# Instantiate Judge object.
person = Person(
name_first=item["First Name"],
name_middle=item["Middle Name"],
name_last=item["Last Name"],
name_suffix=get_suffix(item["Suffix"]),
gender=gender,
fjc_id=item["jid"],
cl_id=item["cl_id"],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state,
)
if not testing:
person.save()
listraces = get_races(item["Race or Ethnicity"])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
add_positions_from_row(item, person, testing)
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
school_str = " (%s)" % schoolnum
schoolname = item["School" + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item["Degree" + school_str]):
degs = [""]
else:
degs = [x.strip() for x in item["Degree" + school_str].split(";")]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item["Degree Year" + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(
person=person,
school=school,
degree_detail=degtype,
degree_level=deg_level,
degree_year=degyear,
)
if not testing:
degree.save()
# Non-judicial positions
titles, locations, startyears, endyears = transform_employ(
item["Professional Career"])
# There is no field in the FJC data with variables commented out below
# (i.e. "Bankruptcy and Magistrate service"). This is commented out
# for reference as pulling out bankruptcy and magistrate service does
# need to be implemented (yet).
# titles2, locations2, startyears2, endyears2 = transform_bankruptcy(item['Bankruptcy and Magistrate service'])
# titles = titles + titles2
# locations = locations + locations2
# startyears = startyears + startyears2
# endyears = endyears + endyears2
for i in range(len(titles)):
job_title = titles[i]
if (pd.isnull(job_title) or job_title == ""
or job_title.startswith("Nominated")):
continue
location = locations[i]
start_year = startyears[i]
end_year = endyears[i]
job_title = job_title.strip()
if pd.isnull(start_year) or start_year == "":
date_start = None
date_start_granularity = ""
else:
try:
start_year = int(start_year)
except:
continue
date_start = date(start_year, 1, 1)
date_start_granularity = GRANULARITY_YEAR
if not pd.isnull(end_year) and end_year.isdigit():
end_year = int(end_year)
date_end = date(end_year, 1, 1)
date_end_granularity = GRANULARITY_YEAR
else:
date_end = None
date_end_granularity = ""
if not pd.isnull(location):
location = location.strip()
if "," in location:
city, state = [x.strip() for x in location.split(",")]
org = ""
if state in STATES_NORMALIZED.values():
pass
elif state.lower() in STATES_NORMALIZED.keys():
state = STATES_NORMALIZED[state.lower()]
else:
city, state = "", ""
org = location
else:
city, state = "", ""
org = location
# test for schools and courts
else:
city, state, org = "", "", ""
position = Position(
person=person,
job_title=job_title,
date_start=date_start,
date_granularity_start=date_start_granularity,
date_termination=date_end,
date_granularity_termination=date_end_granularity,
location_city=city,
location_state=state,
organization_name=org,
)
if not testing:
try:
position.save()
except Exception:
continue
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'], item['lastname'],
str(date_dob))
fjc_check = Person.objects.filter(fjc_id=item['Judge Identification Number'])
if len(fjc_check) > 0:
print ('Warning: %s exists' % name)
return
pres_check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'], date_dob=date_dob)
if not testing:
print ("Now processing: %s" % name)
#pass
if len(pres_check) > 0:
print ('%s is a president.' % name)
person = pres_check[0]
person.fjc_id = item['Judge Identification Number']
else:
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] += '.'
# instantiate Judge object
person = Person(
name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state
)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
prev_politics = None
# add position items (up to 6 of them)
for posnum in range(1, 7):
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = get_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_nominated = process_date_string(
item['Nomination Date Senate Executive Journal' + pos_str])
date_recess_appointment = process_date_string(
item['Recess Appointment date' + pos_str])
date_referred_to_judicial_committee = process_date_string(
item['Referral date (referral to Judicial Committee)' + pos_str])
date_judicial_committee_action = process_date_string(
item['Committee action date' + pos_str])
date_hearing = process_date_string(item['Hearings' + pos_str])
date_confirmation = process_date_string(
item['Senate Vote Date (Confirmation Date)' + pos_str])
# assign start date
date_start = process_date_string(item['Commission Date' + pos_str])
if pd.isnull(date_start) and not pd.isnull(date_recess_appointment):
date_start = date_recess_appointment
if pd.isnull(date_start):
# if still no start date, skip
continue
date_termination = process_date_string(
item['Date of Termination' + pos_str])
date_retirement = process_date_string(
item['Retirement from Active Service' + pos_str])
if date_termination is None:
date_granularity_termination = ''
else:
date_granularity_termination = GRANULARITY_DAY
# check duplicate position
dupe_search = Position.objects.filter(
person=person,
position_type='jud',
date_start=date_start,
date_termination=date_termination)
if len(dupe_search) > 0:
print('Duplicate position:',dupe_search)
continue
# assign appointing president
if not pd.isnull(item['Renominating President name' + pos_str]):
appointstr = item['Renominating President name' + pos_str]
else:
appointstr = item['President name' + pos_str]
appointer = None
if appointstr not in ['Assignment', 'Reassignment']:
names = appointstr.split()
if len(names) == 3:
first, mid, last = names
else:
first, last = names[0], names[-1]
mid = ''
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last)
if len(appoint_search) > 1:
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last,
person__name_middle__iexact=mid,
position_type='pres',
)
if len(appoint_search) > 1:
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last,
person__name_middle__iexact=mid,
position_type='pres',
date_start__lte=date_nominated,
date_termination__gte=date_nominated
)
if len(appoint_search) == 0:
print(names, appoint_search)
if len(appoint_search) > 1:
print(names, appoint_search)
if len(appoint_search) == 1:
appointer = appoint_search[0]
# senate votes data
votes = item['Senate vote Ayes/Nays' + pos_str]
if not pd.isnull(votes):
votes_yes, votes_no = votes.split('/')
else:
votes_yes = None
votes_no = None
if item['Senate voice vote' + pos_str] == "Yes":
voice_vote = True
else:
voice_vote = False
termdict = {'Abolition of Court': 'abolished',
'Death': 'ded',
'Reassignment': 'other_pos',
'Appointment to Another Judicial Position': 'other_pos',
'Impeachment & Conviction': 'bad_judge',
'Recess Appointment-Not Confirmed': 'recess_not_confirmed',
'Resignation': 'resign',
'Retirement': 'retire_vol'
}
term_reason = item['Termination specific reason' + pos_str]
if pd.isnull(term_reason):
term_reason = ''
else:
term_reason = termdict[term_reason]
position = Position(
person=person,
court_id=courtid,
position_type='jud',
date_nominated=date_nominated,
date_recess_appointment=date_recess_appointment,
date_referred_to_judicial_committee=date_referred_to_judicial_committee,
date_judicial_committee_action=date_judicial_committee_action,
date_hearing=date_hearing,
date_confirmation=date_confirmation,
date_start=date_start,
date_granularity_start=GRANULARITY_DAY,
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
date_retirement=date_retirement,
appointer=appointer,
voice_vote=voice_vote,
votes_yes=votes_yes,
votes_no=votes_no,
vote_type='s',
how_selected='a_pres',
termination_reason=term_reason
)
if not testing:
position.save()
# set party
p = item['Party Affiliation of President' + pos_str]
if not pd.isnull(p) and p not in ['Assignment', 'Reassignment']:
party = get_party(item['Party Affiliation of President' + pos_str])
if prev_politics is None:
if pd.isnull(date_nominated):
politicsgran = ''
else:
politicsgran = GRANULARITY_DAY
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=politicsgran,
source='a',
)
if not testing:
politics.save()
prev_politics = party
elif party != prev_politics:
# account for changing political affiliation
politics.date_end = date_nominated
politics.date_granularity_end = GRANULARITY_DAY
if not testing:
politics.save()
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=GRANULARITY_DAY,
source='a'
)
if not testing:
politics.save()
rating = get_aba(item['ABA Rating' + pos_str])
if rating is not None:
nom_year = date_nominated.year
aba = ABARating(
person=person,
rating=rating,
year_rated=nom_year
)
if not testing:
aba.save()
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(
person=person,
school=school,
degree_detail=degtype,
degree_level=deg_level,
degree_year=degyear
)
if not testing:
degree.save()
# Non-judicial positions
titles, locations, startyears, endyears = transform_employ(item['Employment text field'])
titles2, locations2, startyears2, endyears2 = transform_bankruptcy(item['Bankruptcy and Magistrate service'])
titles = titles + titles2
locations = locations + locations2
startyears = startyears + startyears2
endyears = endyears + endyears2
for i in range(len(titles)):
job_title = titles[i]
if pd.isnull(job_title) or job_title=='' or job_title.startswith('Nominated'):
continue
location = locations[i]
start_year = startyears[i]
end_year = endyears[i]
job_title = job_title.strip()
if pd.isnull(start_year) or start_year == '':
#print
#print(name)
#print(job_title,location,start_year,end_year)
#print('No start date.')
continue
else:
try:
start_year = int(start_year)
except:
continue
date_start = date(start_year,1,1)
date_start_granularity = GRANULARITY_YEAR
if not pd.isnull(end_year) and end_year.isdigit():
end_year = int(end_year)
date_end = date(end_year,1,1)
date_end_granularity = GRANULARITY_YEAR
else:
date_end = None
date_end_granularity = ''
if not pd.isnull(location):
location = location.strip()
if ',' in location:
city, state = [x.strip() for x in location.split(',')]
org = ''
if state in STATES_NORMALIZED.values():
pass
elif state.lower() in STATES_NORMALIZED.keys():
state = STATES_NORMALIZED[state.lower()]
else:
city, state = '',''
org = location
else:
city, state = '',''
org = location
# test for schools and courts
else:
city,state,org = '','',''
position = Position(
person=person,
job_title=job_title,
date_start=date_start,
date_granularity_start=date_start_granularity,
date_termination=date_end,
date_granularity_termination=date_end_granularity,
location_city = city,
location_state = state,
organization_name = org
)
if not testing:
try:
position.save()
except Exception, e:
continue
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
check = Person.objects.filter(fjc_id=item['Judge Identification Number'])
if len(check) > 0:
print('Warning: ' + item['firstname'] + ' ' + item['lastname'] + ' ' +
str(date_dob) + ' exists.')
return
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
# instantiate Judge object
person = Person(name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
# add position items (up to 6 of them)
for posnum in range(1, 7):
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = get_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_nominated = process_date_string(
item['Nomination Date Senate Executive Journal'])
date_recess_appointment = process_date_string(
item['Recess Appointment date'])
date_referred_to_judicial_committee = process_date_string(
item['Referral date (referral to Judicial Committee)'])
date_judicial_committee_action = process_date_string(
item['Committee action date'])
date_hearing = process_date_string(item['Hearings'])
date_confirmation = process_date_string(
item['Senate Vote Date (Confirmation Date)'])
# assign start date
date_start = process_date_string(item['Commission Date' + pos_str])
if pd.isnull(date_start) and not pd.isnull(date_recess_appointment):
date_start = date_recess_appointment
if pd.isnull(date_start):
# if still no start date, skip
continue
date_termination = process_date_string(item['Date of Termination' +
pos_str])
date_retirement = process_date_string(
item['Retirement from Active Service' + pos_str])
if date_termination is None:
date_granularity_termination = ''
else:
date_granularity_termination = '%Y-%m-%d'
votes_yes = None
votes_no = None
termdict = {
'Abolition of Court': 'abolished',
'Death': 'ded',
'Reassignment': 'other_pos',
'Appointment to Another Judicial Position': 'other_pos',
'Impeachment & Conviction': 'bad_judge',
'Recess Appointment-Not Confirmed': 'recess_not_confirmed',
'Resignation': 'resign',
'Retirement': 'retire_vol'
}
term_reason = item['Termination specific reason' + pos_str]
if pd.isnull(term_reason):
term_reason = ''
else:
term_reason = termdict[term_reason]
position = Position(
person=person,
court_id=courtid,
position_type='jud',
date_nominated=date_nominated,
date_recess_appointment=date_recess_appointment,
date_referred_to_judicial_committee=
date_referred_to_judicial_committee,
date_judicial_committee_action=date_judicial_committee_action,
date_hearing=date_hearing,
date_confirmation=date_confirmation,
date_start=date_start,
date_granularity_start='%Y-%m-%d',
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
date_retirement=date_retirement,
votes_yes=votes_yes,
votes_no=votes_no,
how_selected='a_pres',
termination_reason=term_reason)
if not testing:
position.save()
# set party
p = item['Party Affiliation of President' + pos_str]
if not pd.isnull(p) and p not in ['Assignment', 'Reassignment']:
party = get_party(item['Party Affiliation of President' + pos_str])
politics = PoliticalAffiliation(person=person,
political_party=party,
source='a')
if not testing:
politics.save()
rating = get_aba(item['ABA Rating' + pos_str])
if rating is not None:
aba = ABARating(person=person, rating=rating)
if not testing:
aba.save()
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(person=person,
school=school,
degree=degtype,
degree_level=deg_level,
degree_year=degyear)
if not testing:
degree.save()
if not pd.isnull(item['Employment text field']):
notes = item['Employment text field']
source = Source(person=person, notes=notes)
if not testing:
source.save()
if not pd.isnull(item['Bankruptcy and Magistrate service']):
notes = item['Bankruptcy and Magistrate service']
source = Source(person=person, notes=notes)
if not testing:
source.save()
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
check = Person.objects.filter(fjc_id=item['Judge Identification Number'])
if len(check) > 0:
print(
'Warning: ' + item['firstname'] + ' ' + item['lastname'] + ' ' + str(
date_dob) + ' exists.')
return
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
# instantiate Judge object
person = Person(
name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state
)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
# add position items (up to 6 of them)
for posnum in range(1, 7):
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = get_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_nominated = process_date_string(
item['Nomination Date Senate Executive Journal'])
date_recess_appointment = process_date_string(
item['Recess Appointment date'])
date_referred_to_judicial_committee = process_date_string(
item['Referral date (referral to Judicial Committee)'])
date_judicial_committee_action = process_date_string(
item['Committee action date'])
date_hearing = process_date_string(item['Hearings'])
date_confirmation = process_date_string(
item['Senate Vote Date (Confirmation Date)'])
# assign start date
date_start = process_date_string(item['Commission Date' + pos_str])
if pd.isnull(date_start) and not pd.isnull(date_recess_appointment):
date_start = date_recess_appointment
if pd.isnull(date_start):
# if still no start date, skip
continue
date_termination = process_date_string(
item['Date of Termination' + pos_str])
date_retirement = process_date_string(
item['Retirement from Active Service' + pos_str])
if date_termination is None:
date_granularity_termination = ''
else:
date_granularity_termination = '%Y-%m-%d'
votes_yes = None
votes_no = None
termdict = {'Abolition of Court': 'abolished',
'Death': 'ded',
'Reassignment': 'other_pos',
'Appointment to Another Judicial Position': 'other_pos',
'Impeachment & Conviction': 'bad_judge',
'Recess Appointment-Not Confirmed': 'recess_not_confirmed',
'Resignation': 'resign',
'Retirement': 'retire_vol'
}
term_reason = item['Termination specific reason' + pos_str]
if pd.isnull(term_reason):
term_reason = ''
else:
term_reason = termdict[term_reason]
position = Position(
person=person,
court_id=courtid,
position_type='jud',
date_nominated=date_nominated,
date_recess_appointment=date_recess_appointment,
date_referred_to_judicial_committee=date_referred_to_judicial_committee,
date_judicial_committee_action=date_judicial_committee_action,
date_hearing=date_hearing,
date_confirmation=date_confirmation,
date_start=date_start,
date_granularity_start='%Y-%m-%d',
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
date_retirement=date_retirement,
votes_yes=votes_yes,
votes_no=votes_no,
how_selected='a_pres',
termination_reason=term_reason
)
if not testing:
position.save()
# set party
p = item['Party Affiliation of President' + pos_str]
if not pd.isnull(p) and p not in ['Assignment', 'Reassignment']:
party = get_party(item['Party Affiliation of President' + pos_str])
politics = PoliticalAffiliation(
person=person,
political_party=party,
source='a'
)
if not testing:
politics.save()
rating = get_aba(item['ABA Rating' + pos_str])
if rating is not None:
aba = ABARating(
person=person,
rating=rating
)
if not testing:
aba.save()
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(
person=person,
school=school,
degree=degtype,
degree_level=deg_level,
degree_year=degyear
)
if not testing:
degree.save()
if not pd.isnull(item['Employment text field']):
notes = item['Employment text field']
source = Source(
person=person,
notes=notes
)
if not testing:
source.save()
if not pd.isnull(item['Bankruptcy and Magistrate service']):
notes = item['Bankruptcy and Magistrate service']
source = Source(
person=person,
notes=notes
)
if not testing:
source.save()
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'], item['lastname'],
str(date_dob))
fjc_check = Person.objects.filter(fjc_id=item['Judge Identification Number'])
if len(fjc_check) > 0:
print ('Warning: %s exists' % name)
return
pres_check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'], date_dob=date_dob)
if not testing:
print ("Now processing: %s" % name)
if len(pres_check) > 0:
print ('%s is a president.' % name)
person = pres_check[0]
person.fjc_id = item['Judge Identification Number']
else:
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] += '.'
# instantiate Judge object
person = Person(
name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state
)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
add_positions_from_row(item, person, testing)
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(
person=person,
school=school,
degree_detail=degtype,
degree_level=deg_level,
degree_year=degyear
)
if not testing:
degree.save()
# Non-judicial positions
titles, locations, startyears, endyears = transform_employ(item['Employment text field'])
titles2, locations2, startyears2, endyears2 = transform_bankruptcy(item['Bankruptcy and Magistrate service'])
titles = titles + titles2
locations = locations + locations2
startyears = startyears + startyears2
endyears = endyears + endyears2
for i in range(len(titles)):
job_title = titles[i]
if pd.isnull(job_title) or job_title=='' or job_title.startswith('Nominated'):
continue
location = locations[i]
start_year = startyears[i]
end_year = endyears[i]
job_title = job_title.strip()
if pd.isnull(start_year) or start_year == '':
#print
#print(name)
#print(job_title,location,start_year,end_year)
#print('No start date.')
continue
else:
try:
start_year = int(start_year)
except:
continue
date_start = date(start_year,1,1)
date_start_granularity = GRANULARITY_YEAR
if not pd.isnull(end_year) and end_year.isdigit():
end_year = int(end_year)
date_end = date(end_year,1,1)
date_end_granularity = GRANULARITY_YEAR
else:
date_end = None
date_end_granularity = ''
if not pd.isnull(location):
location = location.strip()
if ',' in location:
city, state = [x.strip() for x in location.split(',')]
org = ''
if state in STATES_NORMALIZED.values():
pass
elif state.lower() in STATES_NORMALIZED.keys():
state = STATES_NORMALIZED[state.lower()]
else:
city, state = '', ''
org = location
else:
city, state = '', ''
org = location
# test for schools and courts
else:
city, state, org = '', '', ''
position = Position(
person=person,
job_title=job_title,
date_start=date_start,
date_granularity_start=date_start_granularity,
date_termination=date_end,
date_granularity_termination=date_end_granularity,
location_city=city,
location_state=state,
organization_name=org
)
if not testing:
try:
position.save()
except Exception:
continue
def make_federal_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge object.
Returns a Judge object.
"""
date_dob, date_granularity_dob = process_date(item['Birth year'],
item['Birth month'],
item['Birth day'])
dob_city = item['Place of Birth (City)']
dob_state = item['Place of Birth (State)']
# if foreign-born, leave blank for now.
if len(dob_state) > 2:
dob_state = ''
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'],
item['lastname'], str(date_dob))
fjc_check = Person.objects.filter(
fjc_id=item['Judge Identification Number'])
if len(fjc_check) > 0:
print('Warning: %s exists' % name)
return
pres_check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'],
date_dob=date_dob)
if not testing:
print("Now processing: %s" % name)
#pass
if len(pres_check) > 0:
print('%s is a president.' % name)
person = pres_check[0]
person.fjc_id = item['Judge Identification Number']
else:
date_dod, date_granularity_dod = process_date(item['Death year'],
item['Death month'],
item['Death day'])
dod_city = item['Place of Death (City)']
dod_state = item['Place of Death (State)']
# if foreign-dead, leave blank for now.
if len(dod_state) > 2:
dod_state = ''
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] += '.'
# instantiate Judge object
person = Person(name_first=item['firstname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
gender=item['gender'],
fjc_id=item['Judge Identification Number'],
cl_id=item['cl_id'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
dob_city=dob_city,
dob_state=dob_state,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
dod_city=dod_city,
dod_state=dod_state)
if not testing:
person.save()
listraces = get_races(item['race'])
races = [Race.objects.get(race=r) for r in listraces]
for r in races:
if not testing:
person.race.add(r)
prev_politics = None
# add position items (up to 6 of them)
for posnum in range(1, 7):
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = get_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_nominated = process_date_string(
item['Nomination Date Senate Executive Journal' + pos_str])
date_recess_appointment = process_date_string(
item['Recess Appointment date' + pos_str])
date_referred_to_judicial_committee = process_date_string(
item['Referral date (referral to Judicial Committee)' + pos_str])
date_judicial_committee_action = process_date_string(
item['Committee action date' + pos_str])
date_hearing = process_date_string(item['Hearings' + pos_str])
date_confirmation = process_date_string(
item['Senate Vote Date (Confirmation Date)' + pos_str])
# assign start date
date_start = process_date_string(item['Commission Date' + pos_str])
if pd.isnull(date_start) and not pd.isnull(date_recess_appointment):
date_start = date_recess_appointment
if pd.isnull(date_start):
# if still no start date, skip
continue
date_termination = process_date_string(item['Date of Termination' +
pos_str])
date_retirement = process_date_string(
item['Retirement from Active Service' + pos_str])
if date_termination is None:
date_granularity_termination = ''
else:
date_granularity_termination = GRANULARITY_DAY
# check duplicate position
dupe_search = Position.objects.filter(
person=person,
position_type='jud',
date_start=date_start,
date_termination=date_termination)
if len(dupe_search) > 0:
print('Duplicate position:', dupe_search)
continue
# assign appointing president
if not pd.isnull(item['Renominating President name' + pos_str]):
appointstr = item['Renominating President name' + pos_str]
else:
appointstr = item['President name' + pos_str]
appointer = None
if appointstr not in ['Assignment', 'Reassignment']:
names = appointstr.split()
if len(names) == 3:
first, mid, last = names
else:
first, last = names[0], names[-1]
mid = ''
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last)
if len(appoint_search) > 1:
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last,
person__name_middle__iexact=mid,
position_type='pres',
)
if len(appoint_search) > 1:
appoint_search = Position.objects.filter(
person__name_first__iexact=first,
person__name_last__iexact=last,
person__name_middle__iexact=mid,
position_type='pres',
date_start__lte=date_nominated,
date_termination__gte=date_nominated)
if len(appoint_search) == 0:
print(names, appoint_search)
if len(appoint_search) > 1:
print(names, appoint_search)
if len(appoint_search) == 1:
appointer = appoint_search[0]
# senate votes data
votes = item['Senate vote Ayes/Nays' + pos_str]
if not pd.isnull(votes):
votes_yes, votes_no = votes.split('/')
else:
votes_yes = None
votes_no = None
if item['Senate voice vote' + pos_str] == "Yes":
voice_vote = True
else:
voice_vote = False
termdict = {
'Abolition of Court': 'abolished',
'Death': 'ded',
'Reassignment': 'other_pos',
'Appointment to Another Judicial Position': 'other_pos',
'Impeachment & Conviction': 'bad_judge',
'Recess Appointment-Not Confirmed': 'recess_not_confirmed',
'Resignation': 'resign',
'Retirement': 'retire_vol'
}
term_reason = item['Termination specific reason' + pos_str]
if pd.isnull(term_reason):
term_reason = ''
else:
term_reason = termdict[term_reason]
position = Position(
person=person,
court_id=courtid,
position_type='jud',
date_nominated=date_nominated,
date_recess_appointment=date_recess_appointment,
date_referred_to_judicial_committee=
date_referred_to_judicial_committee,
date_judicial_committee_action=date_judicial_committee_action,
date_hearing=date_hearing,
date_confirmation=date_confirmation,
date_start=date_start,
date_granularity_start=GRANULARITY_DAY,
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
date_retirement=date_retirement,
appointer=appointer,
voice_vote=voice_vote,
votes_yes=votes_yes,
votes_no=votes_no,
vote_type='s',
how_selected='a_pres',
termination_reason=term_reason)
if not testing:
position.save()
# set party
p = item['Party Affiliation of President' + pos_str]
if not pd.isnull(p) and p not in ['Assignment', 'Reassignment']:
party = get_party(item['Party Affiliation of President' + pos_str])
if prev_politics is None:
if pd.isnull(date_nominated):
politicsgran = ''
else:
politicsgran = GRANULARITY_DAY
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=politicsgran,
source='a',
)
if not testing:
politics.save()
prev_politics = party
elif party != prev_politics:
# account for changing political affiliation
politics.date_end = date_nominated
politics.date_granularity_end = GRANULARITY_DAY
if not testing:
politics.save()
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=GRANULARITY_DAY,
source='a')
if not testing:
politics.save()
rating = get_aba(item['ABA Rating' + pos_str])
if rating is not None:
nom_year = date_nominated.year
aba = ABARating(person=person, rating=rating, year_rated=nom_year)
if not testing:
aba.save()
# add education items (up to 5 of them)
for schoolnum in range(1, 6):
if schoolnum > 1:
school_str = ' (%s)' % schoolnum
else:
school_str = ''
schoolname = item['Name of School' + school_str]
if pd.isnull(schoolname):
continue
if pd.isnull(item['Degree' + school_str]):
degs = ['']
else:
degs = [x.strip() for x in item['Degree' + school_str].split(';')]
for degtype in degs:
deg_level = get_degree_level(degtype)
degyear = item['Degree year' + school_str]
try:
int(degyear)
except:
degyear = None
school = get_school(schoolname)
if school is not None:
degree = Education(person=person,
school=school,
degree_detail=degtype,
degree_level=deg_level,
degree_year=degyear)
if not testing:
degree.save()
# Non-judicial positions
titles, locations, startyears, endyears = transform_employ(
item['Employment text field'])
titles2, locations2, startyears2, endyears2 = transform_bankruptcy(
item['Bankruptcy and Magistrate service'])
titles = titles + titles2
locations = locations + locations2
startyears = startyears + startyears2
endyears = endyears + endyears2
for i in range(len(titles)):
job_title = titles[i]
if pd.isnull(job_title) or job_title == '' or job_title.startswith(
'Nominated'):
continue
location = locations[i]
start_year = startyears[i]
end_year = endyears[i]
job_title = job_title.strip()
if pd.isnull(start_year) or start_year == '':
#print
#print(name)
#print(job_title,location,start_year,end_year)
#print('No start date.')
continue
else:
try:
start_year = int(start_year)
except:
continue
date_start = date(start_year, 1, 1)
date_start_granularity = GRANULARITY_YEAR
if not pd.isnull(end_year) and end_year.isdigit():
end_year = int(end_year)
date_end = date(end_year, 1, 1)
date_end_granularity = GRANULARITY_YEAR
else:
date_end = None
date_end_granularity = ''
if not pd.isnull(location):
location = location.strip()
if ',' in location:
city, state = [x.strip() for x in location.split(',')]
org = ''
if state in STATES_NORMALIZED.values():
pass
elif state.lower() in STATES_NORMALIZED.keys():
state = STATES_NORMALIZED[state.lower()]
else:
city, state = '', ''
org = location
else:
city, state = '', ''
org = location
# test for schools and courts
else:
city, state, org = '', '', ''
position = Position(person=person,
job_title=job_title,
date_start=date_start,
date_granularity_start=date_start_granularity,
date_termination=date_end,
date_granularity_termination=date_end_granularity,
location_city=city,
location_state=state,
organization_name=org)
if not testing:
try:
position.save()
except Exception, e:
continue