def get_nearby_courts(court_name):
if 'nearbyCourts' not in courts_by_name[court_name]:
print 'LOOKING UP COURTS NEAR', court_name
nearby_courts = Database.find_courts('circuit', court_name, 40)
courts_by_name[court_name]['nearbyCourts'] = \
[court['fips_code'] for court in nearby_courts]
return courts_by_name[court_name]['nearbyCourts']
def get_nearby_courts(court_name):
if 'nearbyCourts' not in courts_by_name[court_name]:
print 'LOOKING UP COURTS NEAR', court_name
nearby_courts = Database.find_courts('circuit', court_name, 40)
courts_by_name[court_name]['nearbyCourts'] = \
[court['fips_code'] for court in nearby_courts]
return courts_by_name[court_name]['nearbyCourts']
def court_list(court_type, court_name, miles):
courts = list(Database.find_courts(court_type, court_name, int(miles)))
return jsonify(courts=courts)
def court_map():
circuit_courts = list(Database.get_circuit_courts())
district_courts = list(Database.get_district_courts())
return render_template('courtmap.html',
circuit_courts=circuit_courts,
district_courts=district_courts)
def add_search_name_tasks(name):
Database.insert_tasks('circuit', name.upper())
Database.insert_tasks('district', name.upper())
return ''
import csv
import sys
from courtutils.database import Database
courts = list(Database.get_circuit_courts())
courts_by_name = {court['name']: court for court in courts}
def get_nearby_courts(court_name):
if 'nearbyCourts' not in courts_by_name[court_name]:
print 'LOOKING UP COURTS NEAR', court_name
nearby_courts = Database.find_courts('circuit', court_name, 40)
courts_by_name[court_name]['nearbyCourts'] = \
[court['fips_code'] for court in nearby_courts]
return courts_by_name[court_name]['nearbyCourts']
def get_courts_to_search(row, courts_by_name):
if 'courtName' not in row or row['courtName'] not in courts_by_name:
return [court['fips_code'] for court in courts]
return get_nearby_courts(row['courtName'])
search_id = Database.insert_search()
search_terms = 0
search_tasks = []
with open(sys.argv[1]) as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
courts_to_search = get_courts_to_search(row, courts_by_name)
name = row['last'] + ', ' + row['first']
'ProgramType', 'Military'
]
excluded_fields = [
'_id', 'details', 'details_fetched', 'case_number',
'details_fetched_for_hearing_date', 'Hearings', 'defendant'
]
def get_db_connection():
return pymongo.MongoClient(os.environ['MONGO_DB'])['va_court_search']
db = get_db_connection()
courts = list(Database.get_circuit_courts())
courts_by_fips = {court['fips_code']: court for court in courts}
cases_by_court = {}
def write_cases_to_file(cases, filename, details, exclude_cases):
with open('./' + filename + '.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=sorted(fieldnames))
writer.writeheader()
for case in cases:
if case['case_number'] in exclude_cases:
continue
if 'error' in case['details']:
print 'Error getting case details', case['case_number']
continue
def clean_names(case, field):
case[field] = ' '.join(case[field].split())
name_parts = case[field].split(': ')
case[name_parts[0]] = name_parts[1]
excluded_fields = [
'_id', 'details', 'details_fetched', 'case_number',
'status', 'name', 'other_name', 'search_id', 'fetched'
]
force_fieldnames = [
'Plaintiff2', 'Plaintiff3', 'Defendant2', 'Defendant3', 'FilingFeePaid'
]
courts = list(Database.get_circuit_courts())
courts_by_fips = {court['fips_code']:court for court in courts}
fieldnames = None
writer = None
with open('./data.csv', 'w') as csvfile:
for case in Database.get_all_cases():
clean_names(case, 'name')
clean_names(case, 'other_name')
case['Status'] = case['status']
case['Court'] = courts_by_fips[case['fips_code']]['name']
for detail in case['details']:
new_key = detail.replace(' ', '')
if new_key == 'Plaintiff': new_key += '1'
if new_key == 'Defendant': new_key += '1'
case[new_key] = case['details'][detail]
.replace("Sheriff's Office", "") \
.replace("Sheriffs Office", "") \
.replace("PD", "") \
.replace("Pd", "") \
.replace("Police Dept.", "") \
.replace("Police Dept", "") \
.replace("Division of Police", "") \
.replace("Police", "") \
.replace("/ Security", "") \
.replace("& ", "") \
.strip()
geolocator_google = GoogleV3(api_key='AIzaSyApqcChB-VAfVx3KqzfW2NvYAfHFyrxRuc')
geolocator_osm = Nominatim()
courts = list(Database.get_circuit_courts())
court_names = [court['name'] for court in courts]
rows = []
with open(sys.argv[1]) as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
rows.append(row)
fieldnames = rows[0].keys()
agencies = [key for key, group in groupby(rows, lambda x: x['agency'])]
agencies_to_court = {}
sanitized_agencies_to_court = {}
for agency in agencies:
sanitized_agency = sanitize_agency(agency)
if sanitized_agency in sanitized_agencies_to_court:
def clean_names(case, field):
case[field] = ' '.join(case[field].split())
name_parts = case[field].split(': ')
case[name_parts[0]] = name_parts[1]
excluded_fields = [
'_id', 'details', 'details_fetched', 'case_number', 'status', 'name',
'other_name', 'search_id', 'fetched'
]
force_fieldnames = [
'Plaintiff2', 'Plaintiff3', 'Defendant2', 'Defendant3', 'FilingFeePaid'
]
courts = list(Database.get_circuit_courts())
courts_by_fips = {court['fips_code']: court for court in courts}
fieldnames = None
writer = None
with open('./data.csv', 'w') as csvfile:
for case in Database.get_all_cases():
clean_names(case, 'name')
clean_names(case, 'other_name')
case['Status'] = case['status']
case['Court'] = courts_by_fips[case['fips_code']]['name']
for detail in case['details']:
new_key = detail.replace(' ', '')
if new_key == 'Plaintiff': new_key += '1'
if new_key == 'Defendant': new_key += '1'
case[new_key] = case['details'][detail]
'RestrictionEndDate',
'VAAlcoholSafetyAction',
'ProgramType',
'Military'
]
excluded_fields = [
'_id', 'details', 'details_fetched', 'case_number',
'details_fetched_for_hearing_date', 'Hearings', 'defendant'
]
def get_db_connection():
return pymongo.MongoClient(os.environ['MONGO_DB'])['va_court_search']
db = get_db_connection()
courts = list(Database.get_circuit_courts())
courts_by_fips = {court['fips_code']:court for court in courts}
cases_by_court = {}
def write_cases_to_file(cases, filename, details, exclude_cases):
with open('./' + filename + '.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=sorted(fieldnames))
writer.writeheader()
for case in cases:
if case['case_number'] in exclude_cases:
continue
if 'error' in case['details']:
print 'Error getting case details', case['case_number']
continue
case['Court'] = courts_by_fips[case['court_fips']]['name']
import csv
import sys
from courtutils.database import Database
courts = list(Database.get_circuit_courts())
courts_by_name = {court['name']:court for court in courts}
def get_nearby_courts(court_name):
if 'nearbyCourts' not in courts_by_name[court_name]:
print 'LOOKING UP COURTS NEAR', court_name
nearby_courts = Database.find_courts('circuit', court_name, 40)
courts_by_name[court_name]['nearbyCourts'] = \
[court['fips_code'] for court in nearby_courts]
return courts_by_name[court_name]['nearbyCourts']
def get_courts_to_search(row, courts_by_name):
if 'courtName' not in row or row['courtName'] not in courts_by_name:
return [court['fips_code'] for court in courts]
return get_nearby_courts(row['courtName'])
search_id = Database.insert_search()
search_terms = 0
search_tasks = []
with open(sys.argv[1]) as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
courts_to_search = get_courts_to_search(row, courts_by_name)
name = row['last'] + ', ' + row['first']
search_terms += 1
print name, len(courts_to_search), 'courts'
for fips_code in courts_to_search: