def make_state_judge(item, testing=False):
"""Takes the state judge data <item> and associates it with a Judge object.
Saves the judge to the DB.
"""
if pd.isnull(item['startyear']):
return
date_dob, date_granularity_dob = process_date(item['birthyear'],
item['birthmonth'],
item['birthday'])
date_dod, date_granularity_dod = process_date(item['deathyear'],
item['deathmonth'],
item['deathday'])
if item['firstname'] == '':
return
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] = item['midname'] + '.'
had_alias_result = False
check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'],
date_dob=date_dob)
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'],
item['lastname'], date_dob)
if check.count() > 0:
print('Warning: %s exists.' % name)
person = check[0]
if person.is_alias:
# Grab the correct person and set our alias variable to True
person = person.is_alias_of
else:
print("Now processing: %s" % name)
person = Person(gender=item['gender'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod)
if not had_alias_result:
# Only set the name and ID values on non-alias results, otherwise
# you overwrite the good name with the alias name.
person.cl_id = item['cl_id']
person.name_first = item['firstname']
person.name_middle = item['midname']
person.name_last = item['lastname']
person.name_suffix = get_suffix(item['suffname'])
if not testing:
person.save()
if not pd.isnull(item['nickname']):
person_alias = Person(cl_id=item['cl_id'] + "-alias-1",
name_first=item['nickname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
is_alias_of=person)
if not testing:
person_alias.save()
if 'colr' in item['cl_id']:
courtid = get_court_object(item['court'] + ' of ' + item['state'])
else:
courtid = get_court_object(item['court'])
if courtid is None:
print(item)
raise
# assign start date
date_start, date_granularity_start = process_date(item['startyear'],
item['startmonth'],
item['startday'])
if item['endyear'] > 2016:
item['endyear'] = None
date_termination, date_granularity_termination = process_date(
item['endyear'], item['endmonth'], item['endday'])
judgeship = Position(
person=person,
court_id=courtid,
position_type='jud',
date_start=date_start,
date_granularity_start=date_granularity_start,
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
# how_selected = get_select(courtid,item['startyear']),
termination_reason=item['howended'])
if not testing:
judgeship.save()
if not pd.isnull(item['college']):
if ';' in item['college']:
colls = [x.strip() for x in item['college'].split(';')]
else:
colls = [item['college'].strip()]
for coll in colls:
school = get_school(coll)
if school is not None:
college = Education(
person=person,
school=school,
degree_level='ba',
)
if not testing:
college.save()
if not pd.isnull(item['lawschool']):
if ';' in item['lawschool']:
lschools = [x.strip() for x in item['lawschool'].split(';')]
else:
lschools = [item['lawschool'].strip()]
for L in lschools:
lschool = get_school(L)
if lschool is not None:
lawschool = Education(
person=person,
school=lschool,
degree_level='jd',
)
if not testing:
lawschool.save()
# iterate through job variables and add to career if applicable
for jobvar in [
'prevjudge', 'prevprivate', 'prevpolitician', 'prevprof',
'postjudge', 'postprivate', 'postpolitician', 'postprof'
]:
if pd.isnull(item[jobvar]) or item[jobvar] == 0:
continue
position_type = None
if 'judge' in jobvar:
position_type = 'jud'
elif 'private' in jobvar:
position_type = 'prac'
elif 'politician' in jobvar:
position_type = 'legis'
elif 'prof' in jobvar:
position_type = 'prof'
job_start = None
job_end = None
if 'prev' in jobvar:
job_start = date_start.year - 1
job_end = date_start.year - 1
if 'post' in jobvar:
if date_termination is None:
continue
job_start = date_termination.year + 1
job_end = date_termination.year + 1
job = Position(person=person,
position_type=position_type,
date_start=date(job_start, 1, 1),
date_granularity_start='%Y',
date_termination=date(job_end, 1, 1),
date_granularity_termination='%Y')
if not testing:
job.save()
if not pd.isnull(item['politics']):
politics = PoliticalAffiliation(
person=person, political_party=item['politics'].lower())
if not testing:
politics.save()
if not pd.isnull(item['links']):
links = item['links']
if ';' in links:
urls = [x.strip() for x in links.split(';')]
else:
urls = [links]
for url in urls:
source = Source(person=person, notes=item['notes'], url=url)
if not testing:
source.save()
def make_state_judge(item, testing=False):
"""Takes the state judge data <item> and associates it with a Judge object.
Saves the judge to the DB.
"""
if pd.isnull(item["startyear"]):
return
date_dob, date_granularity_dob = process_date(item["birthyear"],
item["birthmonth"],
item["birthday"])
date_dod, date_granularity_dod = process_date(item["deathyear"],
item["deathmonth"],
item["deathday"])
if item["firstname"] == "":
return
if not pd.isnull(item["midname"]):
if len(item["midname"]) == 1:
item["midname"] = f"{item['midname']}."
had_alias_result = False
check = Person.objects.filter(
name_first=item["firstname"],
name_last=item["lastname"],
date_dob=date_dob,
)
name = (
f"{item['cl_id']}: {item['firstname']} {item['lastname']} {date_dob}")
if check.count() > 0:
print(f"Warning: {name} exists.")
person = check[0]
if person.is_alias:
# Grab the correct person and set our alias variable to True
person = person.is_alias_of
else:
print(f"Now processing: {name}")
person = Person(
gender=item["gender"],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod,
)
if not had_alias_result:
# Only set the name and ID values on non-alias results, otherwise
# you overwrite the good name with the alias name.
person.cl_id = item["cl_id"]
person.name_first = item["firstname"]
person.name_middle = item["midname"]
person.name_last = item["lastname"]
person.name_suffix = get_suffix(item["suffname"])
if not testing:
person.save()
if not pd.isnull(item["nickname"]):
person_alias = Person(
cl_id=f"{item['cl_id']}-alias-1",
name_first=item["nickname"],
name_middle=item["midname"],
name_last=item["lastname"],
name_suffix=get_suffix(item["suffname"]),
is_alias_of=person,
)
if not testing:
person_alias.save()
if "colr" in item["cl_id"]:
courtid = get_state_court_object(f"{item['court']} of {item['state']}")
else:
courtid = get_state_court_object(item["court"])
if courtid is None:
print(item)
raise Exception
# assign start date
date_start, date_granularity_start = process_date(item["startyear"],
item["startmonth"],
item["startday"])
if item["endyear"] > 2016:
item["endyear"] = None
date_termination, date_granularity_termination = process_date(
item["endyear"], item["endmonth"], item["endday"])
judgeship = Position(
person=person,
court_id=courtid,
position_type="jud",
date_start=date_start,
date_granularity_start=date_granularity_start,
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
# how_selected = get_select(courtid,item['startyear']),
termination_reason=item["howended"],
)
if not testing:
judgeship.save()
if not pd.isnull(item["college"]):
if ";" in item["college"]:
colls = [x.strip() for x in item["college"].split(";")]
else:
colls = [item["college"].strip()]
for coll in colls:
school = get_school(coll)
if school is not None:
college = Education(person=person,
school=school,
degree_level="ba")
if not testing:
college.save()
if not pd.isnull(item["lawschool"]):
if ";" in item["lawschool"]:
lschools = [x.strip() for x in item["lawschool"].split(";")]
else:
lschools = [item["lawschool"].strip()]
for L in lschools:
lschool = get_school(L)
if lschool is not None:
lawschool = Education(person=person,
school=lschool,
degree_level="jd")
if not testing:
lawschool.save()
# iterate through job variables and add to career if applicable
for jobvar in [
"prevjudge",
"prevprivate",
"prevpolitician",
"prevprof",
"postjudge",
"postprivate",
"postpolitician",
"postprof",
]:
if pd.isnull(item[jobvar]) or item[jobvar] == 0:
continue
position_type = None
if "judge" in jobvar:
position_type = "jud"
elif "private" in jobvar:
position_type = "prac"
elif "politician" in jobvar:
position_type = "legis"
elif "prof" in jobvar:
position_type = "prof"
job_start = None
job_end = None
if "prev" in jobvar:
job_start = date_start.year - 1
job_end = date_start.year - 1
if "post" in jobvar:
if date_termination is None:
continue
job_start = date_termination.year + 1
job_end = date_termination.year + 1
job = Position(
person=person,
position_type=position_type,
date_start=date(job_start, 1, 1),
date_granularity_start="%Y",
date_termination=date(job_end, 1, 1),
date_granularity_termination="%Y",
)
if not testing:
job.save()
if not pd.isnull(item["politics"]):
politics = PoliticalAffiliation(
person=person, political_party=item["politics"].lower())
if not testing:
politics.save()
if not pd.isnull(item["links"]):
links = item["links"]
if ";" in links:
urls = [x.strip() for x in links.split(";")]
else:
urls = [links]
for url in urls:
source = Source(person=person, notes=item["notes"], url=url)
if not testing:
source.save()
def make_state_judge(item, testing=False):
"""Takes the state judge data <item> and associates it with a Judge object.
Saves the judge to the DB.
"""
if pd.isnull(item['startyear']):
return
date_dob, date_granularity_dob = process_date(item['birthyear'],
item['birthmonth'],
item['birthday'])
date_dod, date_granularity_dod = process_date(item['deathyear'],
item['deathmonth'],
item['deathday'])
if item['firstname'] == '':
return
if not pd.isnull(item['midname']):
if len(item['midname']) == 1:
item['midname'] = item['midname'] + '.'
had_alias_result = False
check = Person.objects.filter(name_first=item['firstname'],
name_last=item['lastname'], date_dob=date_dob)
name = "%s: %s %s %s" % (item['cl_id'], item['firstname'], item['lastname'],
date_dob)
if check.count() > 0:
print('Warning: %s exists.' % name)
person = check[0]
if person.is_alias:
# Grab the correct person and set our alias variable to True
person = person.is_alias_of
else:
print("Now processing: %s" % name)
person = Person(
gender=item['gender'],
date_dob=date_dob,
date_granularity_dob=date_granularity_dob,
date_dod=date_dod,
date_granularity_dod=date_granularity_dod
)
if not had_alias_result:
# Only set the name and ID values on non-alias results, otherwise
# you overwrite the good name with the alias name.
person.cl_id = item['cl_id']
person.name_first = item['firstname']
person.name_middle = item['midname']
person.name_last = item['lastname']
person.name_suffix = get_suffix(item['suffname'])
if not testing:
person.save()
if not pd.isnull(item['nickname']):
person_alias = Person(
cl_id=item['cl_id'] + "-alias-1",
name_first=item['nickname'],
name_middle=item['midname'],
name_last=item['lastname'],
name_suffix=get_suffix(item['suffname']),
is_alias_of=person
)
if not testing:
person_alias.save()
if 'colr' in item['cl_id']:
courtid = get_court_object(item['court'] + ' of ' + item['state'])
else:
courtid = get_court_object(item['court'])
if courtid is None:
print(item)
raise
# assign start date
date_start, date_granularity_start = process_date(item['startyear'],
item['startmonth'],
item['startday'])
if item['endyear'] > 2016:
item['endyear'] = None
date_termination, date_granularity_termination = process_date(
item['endyear'],
item['endmonth'],
item['endday'])
judgeship = Position(
person=person,
court_id=courtid,
position_type='jud',
date_start=date_start,
date_granularity_start=date_granularity_start,
date_termination=date_termination,
date_granularity_termination=date_granularity_termination,
# how_selected = get_select(courtid,item['startyear']),
termination_reason=item['howended']
)
if not testing:
judgeship.save()
if not pd.isnull(item['college']):
if ';' in item['college']:
colls = [x.strip() for x in item['college'].split(';')]
else:
colls = [item['college'].strip()]
for coll in colls:
school = get_school(coll)
if school is not None:
college = Education(
person=person,
school=school,
degree_level='ba',
)
if not testing:
college.save()
if not pd.isnull(item['lawschool']):
if ';' in item['lawschool']:
lschools = [x.strip() for x in item['lawschool'].split(';')]
else:
lschools = [item['lawschool'].strip()]
for L in lschools:
lschool = get_school(L)
if lschool is not None:
lawschool = Education(
person=person,
school=lschool,
degree_level='jd',
)
if not testing:
lawschool.save()
# iterate through job variables and add to career if applicable
for jobvar in ['prevjudge', 'prevprivate', 'prevpolitician', 'prevprof',
'postjudge', 'postprivate', 'postpolitician', 'postprof']:
if pd.isnull(item[jobvar]) or item[jobvar] == 0:
continue
position_type = None
if 'judge' in jobvar:
position_type = 'jud'
elif 'private' in jobvar:
position_type = 'prac'
elif 'politician' in jobvar:
position_type = 'legis'
elif 'prof' in jobvar:
position_type = 'prof'
job_start = None
job_end = None
if 'prev' in jobvar:
job_start = date_start.year - 1
job_end = date_start.year - 1
if 'post' in jobvar:
if date_termination is None:
continue
job_start = date_termination.year + 1
job_end = date_termination.year + 1
job = Position(
person=person,
position_type=position_type,
date_start=date(job_start, 1, 1),
date_granularity_start='%Y',
date_termination=date(job_end, 1, 1),
date_granularity_termination='%Y'
)
if not testing:
job.save()
if not pd.isnull(item['politics']):
politics = PoliticalAffiliation(
person=person,
political_party=item['politics'].lower()
)
if not testing:
politics.save()
if not pd.isnull(item['links']):
links = item['links']
if ';' in links:
urls = [x.strip() for x in links.split(';')]
else:
urls = [links]
for url in urls:
source = Source(
person=person,
notes=item['notes'],
url=url
)
if not testing:
source.save()