Created
May 3, 2012 21:17
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File to grab census data to populate tables for openblock geocoder
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import urllib | |
import os | |
import sys | |
import requests | |
import json | |
import zipfile | |
import shelve | |
from get_state_abbr import STATE_ABBRS # this is just a big 'ol dict | |
from get_state_fips import STATE_FIPS # so is this | |
from subprocess import call | |
SHELF_PATH = 'data/processed.db' | |
SHELF = shelve.open(SHELF_PATH, writeback=True) | |
def fetch_unzip(url,fn): | |
fn_dir = 'data/'+fn | |
urllib.urlretrieve(url,fn_dir) | |
unzipped_dir = fn_dir.rstrip('.zip') | |
zf = zipfile.ZipFile(fn_dir, 'r').extractall(unzipped_dir) | |
return unzipped_dir | |
def get_counties(state): | |
abbr = STATE_ABBRS[state] | |
r = requests.get('http://api.sba.gov/geodata/county_data_for_state_of/' + abbr.lower() + '.json') | |
counties = json.loads(r.content) | |
sf = STATE_FIPS[state] | |
base_url = 'http://www2.census.gov/geo/tiger/TIGER2009/{0}_{1}/{2}'.format(sf,state.upper(),sf) | |
path = None | |
for county in counties: | |
paths = {} | |
county_name = '_'.join(county['name'].split(' ')) | |
county_fips = county['fips_county_cd'].rjust(3,'0') | |
c = SHELF[state].get(county_fips, False) | |
if not c: | |
SHELF[state][county_fips] = {} | |
for z in ['edges', 'faces', 'featnames']: | |
f = SHELF[state][county_fips].get(z,False) | |
if not f: | |
SHELF[state][county_fips][z] = False | |
fn = 'tl_2009_{0}{1}_{2}.zip'.format(sf,county_fips,z) | |
url = '{0}{1}_{2}/{3}'.format(base_url, county_fips, county_name, fn) | |
paths[z] = fetch_unzip(url,fn) | |
SHELF[state][county_fips][z] = True | |
try: | |
if not SHELF[state][county_fips]['processed']: | |
raise KeyError | |
else: | |
pass | |
except KeyError: | |
SHELF[state][county_fips]['processed'] = False | |
edges = '{0}/tl_2009_{1}{2}_edges.shp'.format(paths['edges'],sf,county_fips) | |
featnames = '{0}/tl_2009_{1}{2}_featnames.dbf'.format(paths['featnames'],sf,county_fips) | |
faces = '{0}/tl_2009_{1}{2}_faces.dbf'.format(paths['faces'],sf,county_fips) | |
place = '{0}/tl_2009_{1}_place.shp'.format(SHELF[state]['place_path'],sf) | |
call(['import_blocks_tiger', edges, featnames, faces, place]) | |
SHELF[state][county_fips]['processed'] = True | |
try: | |
if not SHELF[state]['streets']: | |
raise KeyError | |
else: | |
pass | |
except KeyError: | |
SHELF[state]['streets'] = False | |
call(['populate_streets', '-v', '-v', '-v', '-v', 'streets',]) | |
call(['populate_streets', '-v', '-v', '-v', '-v', 'block_intersections',]) | |
call(['populate_streets', '-v', '-v', '-v', '-v', 'intersections',]) | |
SHELF[state]['streets'] = True | |
def get_state_zip(state): | |
try: | |
if not SHELF[state]['zip']: | |
raise KeyError | |
else: | |
pass | |
except KeyError: | |
SHELF[state]['zip'] = False | |
fn = 'tl_2009_{0}_zcta5.zip'.format(STATE_FIPS[state]) | |
url = 'http://www2.census.gov/geo/tiger/TIGER2009/{0}_{1}/{2}'.format(STATE_FIPS[state],state.upper(),fn) | |
path = fetch_unzip(url,fn) | |
call(['import_zips_tiger', path]) | |
SHELF[state]['zip'] = True | |
def get_state_place(state): | |
try: | |
if not SHELF[state]['place']: | |
raise KeyError | |
else: | |
pass | |
except KeyError: | |
SHELF[state]['place'] = False | |
fn = 'tl_2009_{0}_place.zip'.format(STATE_FIPS[state]) | |
url = 'http://www2.census.gov/geo/tiger/TIGER2009/{0}_{1}/{2}'.format(STATE_FIPS[state],state.upper(),fn) | |
path = fetch_unzip(url,fn) | |
SHELF[state]['place'] = True | |
SHELF[state]['place_path'] = path | |
# get_counties(path, state) | |
if __name__ == '__main__': | |
# Doing all this shelve stuff so I can eventually keep track of what's been processed | |
os.putenv('DJANGO_SETTINGS_MODULE','geocoder.settings') | |
state = sys.argv[1] | |
s = SHELF.get(state,False) | |
if s: | |
try: | |
if not SHELF[state]['streets']: | |
raise KeyError | |
else: | |
pass | |
except KeyError: | |
SHELF[state] = {} | |
get_state_zip(state) | |
get_state_place(state) | |
get_counties(state) | |
else: | |
SHELF[state] = {} | |
get_state_zip(state) | |
get_state_place(state) | |
get_counties(state) | |
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