def add_positions_from_row(item, person, testing, fix_nums=None):
# add position items (up to 6 of them)
prev_politics = None
for posnum in range(1, 7):
# Save the position if we're running all positions or specifically
# fixing this one.
save_this_position = fix_nums is None or posnum in fix_nums
pos_str = " (%s)" % posnum
if pd.isnull(item["Court Name" + pos_str]):
continue
if re.search("appeal", item["Court Name" + pos_str], re.I):
courtid = match_court_string(item["Court Name" + pos_str],
federal_appeals=True)
elif re.search("district|trade", item["Court Name" + pos_str], re.I):
courtid = match_court_string(item["Court Name" + pos_str],
federal_district=True)
if courtid is None:
raise Exception
date_nominated = process_date_string(item["Nomination Date" + pos_str])
date_recess_appointment = process_date_string(
item["Recess Appointment Date" + pos_str])
date_referred_to_judicial_committee = process_date_string(
item["Committee Referral Date" + pos_str])
date_judicial_committee_action = process_date_string(
item["Committee Action Date" + pos_str])
date_hearing = process_date_string(item["Hearing Date" + pos_str])
date_confirmation = process_date_string(item["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
date_start = None
date_termination = process_date_string(item["Termination Date" +
pos_str])
termination = item["Termination" + 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,
termination_reason=termination,
court_id=courtid,
)
if len(dupe_search) > 0:
print("Duplicate position:", dupe_search)
continue
# assign appointing president
if not pd.isnull(item["Reappointing President" + pos_str]):
appointstr = item["Reappointing President" + pos_str]
else:
appointstr = item["Appointing President" + 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["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 Vote Type" + 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" + 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,
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 and save_this_position:
position.save()
# set party
p = item["Party of Appointing President" + pos_str]
if not pd.isnull(p) and p not in ["Assignment", "Reassignment"]:
party = get_party(item["Party of Appointing 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 and save_this_position:
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 and save_this_position:
politics.save()
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=GRANULARITY_DAY,
source="a",
)
if not testing and save_this_position:
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 and save_this_position:
aba.save()
# Add URL and date accessed.
sources = Source(
person=person,
url="https://www.fjc.gov/sites/default/files/history/judges.csv",
date_accessed=str(date.today()),
)
if not testing:
sources.save()
def make_mag_bk_judge(item, testing=False):
"""Takes the federal judge data <item> and associates it with a Judge
object. Returns a Judge object. To be used for importing bankruptcy
and magistrate judges. Example data below:
CL_ID: fjc-bk-12
COURT: AR,E
JUDGE_NAME: JONES, PHYLLIS M.
POSITION: Bankruptcy
NAME_LAST: Jones
NAME_FIRST: Phyllis
NAME_MIDDLE: M.
NAME_SUFFIX:
GENDER: Female
START_DATE: 2015-01-07
START_DATE_GRANULARITY: %Y-%m-%d
SOURCE: https://www.uscourts.gov/judicial-milestones/phyllis-m-jones
"""
name = "{CL_ID}: {NAME_FIRST} {NAME_LAST}".format(**item)
print("Now processing: %s" % name)
if Person.objects.filter(cl_id=item["CL_ID"]).exists():
raise ValidationError(
"CL_ID already exists for the record being imported: %s" % name)
if Person.objects.filter(
name_first=item["NAME_FIRST"],
name_middle=item["NAME_MIDDLE"],
name_last=item["NAME_LAST"],
).exists():
raise ValidationError(
"Name already exists for record being imported %s" % name)
if not pd.isnull(item["NAME_MIDDLE"]):
if len(item["NAME_MIDDLE"]) == 1:
item["NAME_MIDDLE"] += "."
if not pd.isnull(item["GENDER"]):
gender = get_gender(item["GENDER"])
if not item["NAME_SUFFIX"] == "":
suffix = get_suffix(item["NAME_SUFFIX"])
else:
suffix = ""
# Instantiate Judge object.
person = Person(
name_first=item["NAME_FIRST"],
name_middle=item["NAME_MIDDLE"],
name_last=item["NAME_LAST"],
name_suffix=suffix,
gender=gender,
cl_id=item["CL_ID"],
)
if not testing:
person.save()
# Add position.
if re.search("Bankruptcy", item["POSITION"]):
position_type = Position.JUDGE
if item["COURT"]:
court = FJC_BANKRUPTCY_COURTS[item["COURT"]]
else:
position_type = Position.MAGISTRATE
if item["COURT"]:
court = FJC_DISTRICT_COURTS[item["COURT"]]
date_start = process_date_string(item["START_DATE"])
position = Position(
person=person,
position_type=position_type,
court_id=court,
date_start=date_start,
date_granularity_start=item["START_DATE_GRANULARITY"],
)
if not testing:
position.save()
sources = Source(person=person,
url=item["SOURCE"],
date_accessed=str(date.today()))
if not testing:
sources.save()
def fix_fjc_positions(self, infile=None):
"""
Addresses issue #624.
We had some errant regexes in the district court assignments. This code
reassigns the court fields for these judges where the new regexes
differs from the old ones.
:param infile: The import file with fjc-data.xslx
:return: None
"""
if infile is None:
self.ensure_input_file()
infile = self.options["input_file"]
textfields = [
"firstname",
"midname",
"lastname",
"gender",
"Place of Birth (City)",
"Place of Birth (State)",
"Place of Death (City)",
"Place of Death (State)",
]
df = pd.read_excel(infile, 0)
for x in textfields:
df[x] = df[x].replace(np.nan, "", regex=True)
df["Employment text field"].replace(
to_replace=r";\sno", value=r", no", inplace=True, regex=True
)
for i, item in df.iterrows():
fjc_id = item["Judge Identification Number"]
p = Person.objects.get(fjc_id=fjc_id)
logger.info(
"Doing person with FJC ID: %s, "
"https://courtlistener.com%s" % (fjc_id, p.get_absolute_url())
)
exclusions = []
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 = match_court_string(
item["Court Name" + pos_str], federal_district=True
)
if courtid is None:
raise Exception
date_termination = process_date_string(
item["Date of Termination" + pos_str]
)
date_start = process_date_string(
item["Commission Date" + pos_str]
)
date_recess_appointment = process_date_string(
item["Recess Appointment 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
positions = Position.objects.filter(
person=p,
date_start=date_start,
date_termination=date_termination,
position_type="jud",
).exclude(pk__in=exclusions)
position_count = positions.count()
if position_count < 1:
logger.info(
"Couldn't find position to match '%s' on '%s' "
"with exclusions: %s" % (p, date_start, exclusions)
)
add_positions_from_row(
item, p, self.debug, fix_nums=[posnum]
)
if not self.debug:
add_items_to_solr.delay([p.pk], "people_db.Person")
continue
elif position_count == 1:
# Good case. Press on!
position = positions[0]
exclusions.append(position.pk)
elif position_count > 1:
logger.info(
"Got too many results for '%s' on '%s'. Got %s"
% (p, date_start, position_count)
)
continue
if position.court.pk == courtid:
logger.info(
"Court IDs are both '%s'. No changes made." % courtid
)
else:
logger.info(
"Court IDs are different! Old: %s, New: %s"
% (position.court.pk, courtid)
)
court = Court.objects.get(pk=courtid)
position.court = court
if not self.debug:
position.save()
add_items_to_solr.delay([p.pk], "people_db.Person")
def add_positions_from_row(item, person, testing, fix_nums=None):
# add position items (up to 6 of them)
prev_politics = None
for posnum in range(1, 7):
# Save the position if we're running all positions or specifically
# fixing this one.
save_this_position = (fix_nums is None or posnum in fix_nums)
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = get_fed_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,
court_id=courtid,
)
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 and save_this_position:
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 and save_this_position:
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 and save_this_position:
politics.save()
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=GRANULARITY_DAY,
source='a')
if not testing and save_this_position:
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 and save_this_position:
aba.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)
#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 add_positions_from_row(item, person, testing, fix_nums=None):
# add position items (up to 6 of them)
prev_politics = None
for posnum in range(1, 7):
# Save the position if we're running all positions or specifically
# fixing this one.
save_this_position = (fix_nums is None or posnum in fix_nums)
if posnum > 1:
pos_str = ' (%s)' % posnum
else:
pos_str = ''
if pd.isnull(item['Court Name' + pos_str]):
continue
courtid = match_court_string(item['Court Name' + pos_str],
federal_district=True)
if courtid is None:
raise Exception
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,
court_id=courtid,
)
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 and save_this_position:
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 and save_this_position:
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 and save_this_position:
politics.save()
politics = PoliticalAffiliation(
person=person,
political_party=party,
date_start=date_nominated,
date_granularity_start=GRANULARITY_DAY,
source='a'
)
if not testing and save_this_position:
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 and save_this_position:
aba.save()
def fix_fjc_positions(self, infile=None):
"""
Addresses issue #624.
We had some errant regexes in the district court assignments. This code
reassigns the court fields for these judges where the new regexes
differs from the old ones.
:param infile: The import file with fjc-data.xslx
:return: None
"""
if infile is None:
self.ensure_input_file()
infile = self.options['input_file']
textfields = ['firstname', 'midname', 'lastname', 'gender',
'Place of Birth (City)', 'Place of Birth (State)',
'Place of Death (City)', 'Place of Death (State)']
df = pd.read_excel(infile, 0)
for x in textfields:
df[x] = df[x].replace(np.nan, '', regex=True)
df['Employment text field'].replace(to_replace=r';\sno', value=r', no',
inplace=True, regex=True)
for i, item in df.iterrows():
fjc_id = item['Judge Identification Number']
p = Person.objects.get(fjc_id=fjc_id)
print(
"Doing person with FJC ID: %s, https://courtlistener.com%s" %
(fjc_id, p.get_absolute_url())
)
exclusions = []
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_fed_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_termination = process_date_string(
item['Date of Termination' + pos_str])
date_start = process_date_string(
item['Commission Date' + pos_str])
date_recess_appointment = process_date_string(
item['Recess Appointment 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
positions = (Position.objects
.filter(person=p, date_start=date_start,
date_termination=date_termination,
position_type='jud')
.exclude(pk__in=exclusions))
position_count = positions.count()
if position_count < 1:
print "Couldn't find position to match '%s' on '%s' with " \
"exclusions: %s" % (p, date_start, exclusions)
add_positions_from_row(item, p, self.debug,
fix_nums=[posnum])
if not self.debug:
add_or_update_people.delay([p.pk])
continue
elif position_count == 1:
# Good case. Press on!
position = positions[0]
exclusions.append(position.pk)
elif position_count > 1:
print "Got too many results for '%s' on '%s'. Got %s" % \
(p, date_start, position_count)
continue
if position.court.pk == courtid:
print "Court IDs are both '%s'. No changes made." % courtid
else:
print "Court IDs are different! Old: %s, New: %s" % (
position.court.pk, courtid)
court = Court.objects.get(pk=courtid)
position.court = court
if not self.debug:
position.save()
add_or_update_people.delay([p.pk])
def fix_fjc_positions(self, infile=None):
"""
Addresses issue #624.
We had some errant regexes in the district court assignments. This code
reassigns the court fields for these judges where the new regexes
differs from the old ones.
:param infile: The import file with fjc-data.xslx
:return: None
"""
if infile is None:
self.ensure_input_file()
infile = self.options['input_file']
textfields = [
'firstname', 'midname', 'lastname', 'gender',
'Place of Birth (City)', 'Place of Birth (State)',
'Place of Death (City)', 'Place of Death (State)'
]
df = pd.read_excel(infile, 0)
for x in textfields:
df[x] = df[x].replace(np.nan, '', regex=True)
df['Employment text field'].replace(to_replace=r';\sno',
value=r', no',
inplace=True,
regex=True)
for i, item in df.iterrows():
fjc_id = item['Judge Identification Number']
p = Person.objects.get(fjc_id=fjc_id)
print("Doing person with FJC ID: %s, https://courtlistener.com%s" %
(fjc_id, p.get_absolute_url()))
exclusions = []
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_fed_court_object(item['Court Name' + pos_str])
if courtid is None:
raise
date_termination = process_date_string(
item['Date of Termination' + pos_str])
date_start = process_date_string(item['Commission Date' +
pos_str])
date_recess_appointment = process_date_string(
item['Recess Appointment 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
positions = (Position.objects.filter(
person=p,
date_start=date_start,
date_termination=date_termination,
position_type='jud').exclude(pk__in=exclusions))
position_count = positions.count()
if position_count < 1:
print "Couldn't find position to match '%s' on '%s' with " \
"exclusions: %s" % (p, date_start, exclusions)
add_positions_from_row(item,
p,
self.debug,
fix_nums=[posnum])
if not self.debug:
add_or_update_people.delay([p.pk])
continue
elif position_count == 1:
# Good case. Press on!
position = positions[0]
exclusions.append(position.pk)
elif position_count > 1:
print "Got too many results for '%s' on '%s'. Got %s" % \
(p, date_start, position_count)
continue
if position.court.pk == courtid:
print "Court IDs are both '%s'. No changes made." % courtid
else:
print "Court IDs are different! Old: %s, New: %s" % (
position.court.pk, courtid)
court = Court.objects.get(pk=courtid)
position.court = court
if not self.debug:
position.save()
add_or_update_people.delay([p.pk])
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