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apply-us-data.py
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apply-us-data.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import csv, json
from glob import glob
from os.path import basename, join
with open(join('us-data', 'codes.txt')) as f:
rows = list(csv.DictReader(f, dialect='excel-tab'))
codes = dict([(row['Postal Code'].lower(), row['State']) for row in rows])
with open(join('us-data', 'states.txt')) as f:
rows = list(csv.DictReader(f, dialect='excel-tab'))
states = dict([(row['Name'], row['State FIPS']) for row in rows])
with open(join('us-data', 'counties.txt')) as f:
counties = dict()
for row in csv.DictReader(f, dialect='excel-tab'):
key = row['State FIPS'], row['Name']
value = row['County FIPS'], row['Name']
counties[key] = value
# some key variations
if row['Name'].endswith(' County'):
counties[(row['State FIPS'], row['Name'][:-7])] = value
if row['Name'].endswith(' Parish'):
counties[(row['State FIPS'], row['Name'][:-7])] = value
if row['Name'].endswith(' Municipality'):
counties[(row['State FIPS'], row['Name'][:-13])] = value
# more key variations
for ((s, c), value) in list(counties.items()):
if c.startswith('St. '):
counties[(s, 'Saint '+c[4:])] = value
for ((s, c), value) in list(counties.items()):
counties[(s, c.lower())] = value
counties[(s, c.replace('-', ' '))] = value
counties[(s, c.replace('-', ' ').lower())] = value
for path in glob('sources/us-*.json'):
with open(path) as f:
data = f.read()
info = json.loads(data)
if 'county' not in info.get('coverage', {}):
continue
if 'US Census' in info['coverage']:
continue
prefix = '\n "coverage": {\n '
assert prefix + '"' in data
print path, '...'
state_name = codes[info['coverage']['state']]
state_fips = states[state_name]
county = info['coverage']['county']
# if type(county) is list or basename(path)[6:-5] != county.lower().replace(' ', '-'):
# continue
if type(county) is list:
county_names = [counties[(state_fips, c)] for c in county]
print info['coverage'], state_fips, state_name, county_names
continue
if u'ñ' in county:
county_fips, county_name = counties[(state_fips, county.replace(u'ñ', 'n'))]
else:
county_fips, county_name = counties[(state_fips, county)]
geoid = state_fips + county_fips
census_dict = dict(geoid=geoid, name=county_name, state=state_name)
census_json = json.dumps(census_dict, sort_keys=True)
new_data = data.replace(prefix, '{0}"US Census": {1},\n '.format(prefix, census_json))
with open(path, 'w') as file:
file.write(new_data)