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data.py
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data.py
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#!/usr/bin/env python
import csv
import json
from sets import Set
from dateutil.parser import *
from django.contrib.gis.gdal import DataSource
from etc.gdocs import GoogleDoc
def write_aggregates():
"""
Prepares an aggregates file for each county.
Only counties with at least one visit will be aggregated
because we build the county list off of the spreadsheet of
visits.
"""
fieldnames = [
'name',
'state_fips',
'county_fips',
'combined_fips',
'total_visits',
'total_fundraising_visits',
'total_message_visits',
'visits_2009',
'visits_2010',
'visits_2011',
'visits_2012',
'visits_2013',
'visits_2014',
'fundraising_2009',
'fundraising_2010',
'fundraising_2011',
'fundraising_2012',
'fundraising_2013',
'fundraising_2014',
'message_2009',
'message_2010',
'message_2011',
'message_2012',
'message_2013',
'message_2014',
'2012_obama_vote_share',
'2012_obama_vote_pct',
'2008_obama_vote_share',
'2008_obama_vote_pct'
]
with open('data/visits-annotated.csv', 'rb') as readfile:
visits = list(csv.DictReader(readfile))
counties = Set([])
for visit in visits:
county_json = {}
county_json['state_fips'] = visit['state_fips'].zfill(2)
county_json['county_fips'] = visit['county_fips'].zfill(3)
county_json['combined_fips'] = visit['combined_fips'].zfill(5)
county_json['name'] = visit['county']
counties.add(json.dumps(county_json))
with open('data/county-aggregates.csv', 'wb') as writefile:
csvwriter = csv.DictWriter(writefile, fieldnames=fieldnames)
csvwriter.writeheader()
for county in counties:
payload = json.loads(county)
for key, value in payload.items():
if value:
payload[key] = value.encode('utf-8')
else:
payload[key] = None
payload['total_visits'] = 0
payload['total_fundraising_visits'] = 0
payload['total_message_visits'] = 0
payload['visits_2009'] = 0
payload['visits_2010'] = 0
payload['visits_2011'] = 0
payload['visits_2012'] = 0
payload['visits_2013'] = 0
payload['visits_2014'] = 0
payload['fundraising_2009'] = 0
payload['fundraising_2010'] = 0
payload['fundraising_2011'] = 0
payload['fundraising_2012'] = 0
payload['fundraising_2013'] = 0
payload['fundraising_2014'] = 0
payload['message_2009'] = 0
payload['message_2010'] = 0
payload['message_2011'] = 0
payload['message_2012'] = 0
payload['message_2013'] = 0
payload['message_2014'] = 0
payload['2008_obama_vote_share'] = 0.0
payload['2008_obama_vote_pct'] = 0.0
payload['2012_obama_vote_share'] = 0.0
payload['2012_obama_vote_pct'] = 0.0
for visit in visits:
if visit['combined_fips'].zfill(5) == payload['combined_fips'].zfill(5):
payload['total_visits'] += 1
payload['2008_obama_vote_share'] = visit['2008_obama_vote_share']
payload['2008_obama_vote_pct'] = visit['2008_obama_vote_pct']
payload['2012_obama_vote_share'] = visit['2012_obama_vote_share']
payload['2012_obama_vote_pct'] = visit['2012_obama_vote_pct']
try:
visit['date'] = parse(visit['date'])
except AttributeError:
pass
if visit['visit_type'].lower() == "fundraiser":
payload['total_fundraising_visits'] += 1
payload['fundraising_%s' % visit['date'].year] += 1
else:
payload['total_message_visits'] += 1
payload['message_%s' % visit['date'].year] += 1
payload['visits_%s' % visit['date'].year] +=1
csvwriter.writerow(payload)
def write_visit_file():
fieldnames = ['date', 'location', 'city', 'state', 'county', 'state_fips', 'county_fips', 'combined_fips', 'visit_type', 'description', 'link']
with open('data/visits.csv', 'wb') as writefile:
csvwriter = csv.DictWriter(writefile, fieldnames=fieldnames)
csvwriter.writeheader()
for visit in Visit.objects.all():
csvwriter.writerow(visit.to_dict())
def write_annotations():
with open('data/visits.csv', 'rb') as readfile:
visits = list(csv.DictReader(readfile))
ds2012 = DataSource('www/assets/shp/elpo12p010g.shp')
layer2012 = ds2012[0]
ds2008 = DataSource('www/assets/shp/elpo08p020.shp')
layer2008 = ds2008[0]
fieldnames = ['date', 'location', 'city', 'state', 'county', '2012_obama_vote_share', '2012_obama_vote_pct', '2008_obama_vote_share', '2008_obama_vote_pct', 'state_fips', 'county_fips', 'combined_fips', 'visit_type', 'description', 'link']
with open('data/visits-annotated.csv', 'wb') as writefile:
csvwriter = csv.DictWriter(writefile, fieldnames=fieldnames)
csvwriter.writeheader()
for i, visit in enumerate(visits):
unknown = True
print "START %s" % i
for county in layer2008:
if visit['combined_fips'].zfill(5) == county['FIPS'].as_string():
visit['2008_obama_vote_share'] = float(county['PERCENT_DE'].as_string()) - float(county['PERCENT_RE'].as_string())
visit['2008_obama_vote_pct'] = float(county['PERCENT_DE'].as_string())
print "\tGot 2008 fips."
unknown = False
break
elif (visit['state'].lower() == county['STATE'].as_string().lower()) and (visit['county'].lower() == county['COUNTY'].as_string().lower()):
visit['2008_obama_vote_share'] = float(county['PERCENT_DE'].as_string()) - float(county['PERCENT_RE'].as_string())
visit['2008_obama_vote_pct'] = float(county['PERCENT_DE'].as_string())
print "\tGot 2008 state/county name."
unknown = False
break
if unknown:
print '\t!! Failed to lookup 2008 results for fips: %s' % visit['combined_fips'].zfill(5)
unknown = True
for county in layer2012:
if visit['combined_fips'].zfill(5) == county['FIPS'].as_string():
visit['2012_obama_vote_share'] = float(county['PCT_OBM'].as_string()) - float(county['PCT_ROM'].as_string())
visit['2012_obama_vote_pct'] = float(county['PCT_OBM'].as_string())
print "\tGot 2012 fips."
unknown = False
break
elif (visit['state'].lower() == county['STATE'].as_string().lower()) and (visit['county'].lower() == county['COUNTY'].as_string().lower()):
visit['2012_obama_vote_share'] = float(county['PCT_OBM'].as_string()) - float(county['PCT_ROM'].as_string())
visit['2012_obama_vote_pct'] = float(county['PCT_OBM'].as_string())
print "\tGot 2012 state/county name."
unknown = False
break
if unknown:
print '\t!! Failed to lookup 2012 results for fips: %s' % visit['combined_fips'].zfill(5)
print "FINISH %s" % i
csvwriter.writerow(visit)
def download_csv():
doc = {
"key": "0AgtV5am-X0b8dG9qS21LQUNMSDNJakRFNkpvbFBGbVE",
"file_name": "visits",
"file_format": "csv",
"gid": "8"
}
g = GoogleDoc(**doc)
g.get_auth()
g.get_document()