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process-cases.py
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process-cases.py
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import csv
import os.path
import sys
from courtreader import readers
from datetime import datetime
csv_fieldnames = []
def parse_datetime(date):
return datetime.strptime(date, "%m/%d/%y")
def dt_str(date):
return '{0.month}/{0.day}/{0:%y}'.format(date)
def load_case_file(file_path):
cases = []
with open(file_path, 'r') as case_file:
case_file_reader = csv.DictReader(case_file)
global csv_fieldnames
csv_fieldnames = case_file_reader.fieldnames
for row in case_file_reader:
row['FIPS'] = row['FIPS'].zfill(3)
row['FILE_DATE'] = parse_datetime(row['FILE_DATE'])
row['FINAL_DISP_DATE'] = parse_datetime(row['FINAL_DISP_DATE'])
cases.append(row)
return cases
def find_matching_cases(partial_case, cases):
matching_cases = []
for i, case in enumerate(cases):
if case['status'] == 'Finalized':
print '\tGetting details for case ' + str(i+1) + \
' of ' + str(len(cases)) + '\r',
sys.stdout.flush()
case_details = reader.get_case_details(case)
if cases_match(partial_case, case_details):
print '\nMATCH ' + case_details['case_number']
matching_case = partial_case.copy()
matching_case['FIPS'] = int(matching_case['FIPS'])
matching_case['FILE_DATE'] = dt_str(matching_case['FILE_DATE'])
matching_case['FINAL_DISP_DATE'] = dt_str(matching_case['FINAL_DISP_DATE'])
matching_case['CASE_NUMBER'] = case_details['case_number']
matching_case['NAME'] = case_details['name']
matching_case['MATCH'] = len(matching_cases) + 1
matching_cases.append(matching_case)
return matching_cases
def case_has_match(partial_case, matched_cases):
for case in matched_cases:
if case['FIPS'] == partial_case['FIPS'] and \
case['FILE_DATE'] == partial_case['FILE_DATE'] and \
case['OFFENSE_CLASS_CODE'] == partial_case['OFFENSE_CLASS_CODE'] and \
case['FINAL_DISP_DATE'] == partial_case['FINAL_DISP_DATE']:
return True
return False
def cases_match(partial_case, case_details):
return case_details['filed_date'] == partial_case['FILE_DATE'] and \
case_details['case_type'] == 'Felony' and \
case_details['offense_class'] == partial_case['OFFENSE_CLASS_CODE']
reader = readers.DistrictCourtReader()
reader.connect()
case_year = '2014'
partial_cases_file_path = 'cases/' + case_year + '.csv'
matched_cases_file_path = 'cases/' + case_year + '_matched.csv'
matched_cases = []
if os.path.isfile(matched_cases_file_path):
matched_cases = load_case_file(matched_cases_file_path)
partial_cases = load_case_file(partial_cases_file_path)
csv_fieldnames.extend(['CASE_NUMBER', 'NAME', 'MATCH'])
with open(matched_cases_file_path, 'wb') as matched_cases_file:
matched_case_writer = csv.DictWriter(matched_cases_file, \
csv_fieldnames)
matched_case_writer.writeheader()
for case in matched_cases:
case_to_file = case.copy()
case_to_file['FIPS'] = int(case_to_file['FIPS'])
case_to_file['FILE_DATE'] = dt_str(case_to_file['FILE_DATE'])
case_to_file['FINAL_DISP_DATE'] = dt_str(case_to_file['FINAL_DISP_DATE'])
matched_case_writer.writerow(case_to_file)
matched_cases_file.flush()
for i, partial_case in enumerate(partial_cases):
print '\nPartial case ' + str(i+1) + ' of ' + str(len(partial_cases))
if case_has_match(partial_case, matched_cases):
print '\tAlready Matched',
continue
fips_code = partial_case['FIPS']
search_date = partial_case['FINAL_DISP_DATE']
cases = reader.get_cases_by_date(fips_code, search_date)
matching_cases = find_matching_cases(partial_case, cases)
if len(matching_cases) > 0:
matched_case_writer.writerows(matching_cases)
else:
partial_case['FIPS'] = int(partial_case['FIPS'])
partial_case['FILE_DATE'] = dt_str(partial_case['FILE_DATE'])
partial_case['FINAL_DISP_DATE'] = dt_str(partial_case['FINAL_DISP_DATE'])
matched_case_writer.writerow(partial_case)
matched_cases_file.flush()