initial import
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examples/address_to_district.py
Executable file
65
examples/address_to_district.py
Executable file
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#!/usr/bin/env python
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''' Implementation of a webservice for an address to district webservice.
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This is the code that http://api.sunlightlabs.com/places.getDistrictFromAddress
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uses.
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Be sure to set GMAPS_API_KEY and PATH_TO_CDFILES appropriately:
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GMAPS_API_KEY: Google Maps key (http://www.google.com/apis/maps/signup.html)
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PATH_TO_CDFILES: copy of cd99 (http://www.census.gov/geo/www/cob/cd110.html)
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The CGI script takes two parameters:
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addr -- address string in any format the google geocoder can handle
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output -- optional parameter specifying formatting ('xml' or default 'json')
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'''
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import cgi
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from polipoly import AddressToDistrictService
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GMAPS_API_KEY = 'define-me'
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PATH_TO_CDFILES =
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# run as a module
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if __name__ == '__main__':
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# get address field and output type
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fields = cgi.FieldStorage()
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addr = fields.getvalue('address')
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output = fields.getvalue('output')
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# plaintext error if no address is provided
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if addr is None:
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print 'Content-type: text/plain\n'
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print 'error: must provide address parameter'
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else:
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# create service and find out districts
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service = AddressToDistrictService(GMAPS_API_KEY, PATH_TO_CDFILES)
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lat, lng, districts = service.address_to_district(addr)
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# JSON output (default)
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if output is None or output == 'json':
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print 'Content-type: application/json\n'
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dist_str = ','.join(['{"state":"%s", "district":"%s"}' % dist
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for dist in districts])
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print '''{"address":"%s", "latitude":"%s", "longitude":"%s",
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"districts": [ %s ] }''' % (addr, lat, lng, dist_str)
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# XML output
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elif output == 'xml':
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print 'Content-type: text/xml\n'
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dist_str = '\n'.join([' <district state="%s">%s</district>' % dist
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for dist in districts])
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print '''<results>
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<address>%s</address>
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<latitude>%s</latitude>
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<longitude>%s</longitude>
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<districts>
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%s
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</districts>
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</results>''' % (addr, lat, lng, dist_str)
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else:
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print 'Content-type: text/plain\n'
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print 'error: invalid output parameter specified'
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271
polipoly.py
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271
polipoly.py
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"""Python library for dealing with political boundaries
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Political boundaries are defined by one or more polygons and obtained
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from census.gov shapefiles. Census boundary shapefiles are available at
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http://www.census.gov/geo/www/cob/bdy_files.html.
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At the moment this library has only been used with State and Congressional
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District boundaries.
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"""
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import urllib
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from shapelib import ShapeFile
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from dbflib import DBFFile
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### General Utilities ###
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# internally used helper function
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def left_of_edge(point, ep1, ep2):
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"""Determine if point is left of infinite line touching ep1 and ep2"""
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return ((ep1[0]-point[0])*(ep2[1]-point[1]) -
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(ep2[0]-point[0])*(ep1[1]-point[1])) < 0
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class Polygon(object):
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''' Simple polygon class used for point containment testing and conversion
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Allows for testing if a polygon contains a point as well as conversion
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to various portable representations '''
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def __init__(self, vertices):
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self.vertices = vertices
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def contains(self, point):
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''' Determine if point lies within the polygon. '''
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# initially winds is 0
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winds = 0
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# iterate over edges
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for i in xrange(len(self.vertices)-1):
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# add wind if edge crosses point going up and point is to left
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if (self.vertices[i][1] < point[1] < self.vertices[i+1][1] and
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left_of_edge(point, self.vertices[i], self.vertices[i+1])):
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winds += 1
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# end wind if edge crosses point going down and point is to right
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elif (self.vertices[i][1] > point[1] > self.vertices[i+1][1] and
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not left_of_edge(point, self.vertices[i], self.vertices[i+1])):
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winds -= 1
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# point is contained if net winds is not zero
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return winds != 0
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def to_kml(self):
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''' get KML polygon representation '''
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coordstr = ' '.join("%.15f,%.15f" % v for v in self.vertices)
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return '''<Polygon><outerBoundaryIs><LinearRing>
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<coordinates>%s</coordinates>
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</LinearRing></outerBoundaryIs></Polygon>''' % coordstr
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### Exceptions ###
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class GeocodingError(Exception):
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"""Custom exception which maps possible google geocoder error codes to
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human readable strings.
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See http://www.google.com/apis/maps/documentation/reference.html#GGeoStatusCode
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"""
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STATUS_CODES = {'500': 'Unknown Geocoding Server Error',
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'601': 'Empty Address',
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'602': 'Unknown Address',
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'603': 'Prohibited Address',
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'610': 'Bad API Key',
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'620': 'Too Many Requests'}
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def __init__(self, code):
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Exception.__init__(self)
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self.code = code
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def __str__(self):
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return 'GeocodingError: %s - %s' % (self.code,
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self.STATUS_CODES[self.code])
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class ShapefileError(Exception):
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""" Exception for problems with census shapefiles."""
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def __init__(self, message):
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Exception.__init__(self, message)
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def __str__(self):
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return 'ShapefileError: %s' % (self.message)
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### Census Shapefiles ###
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# Mapping of FIPS codes to Postal Abbreviations
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# obtained from http://www.itl.nist.gov/fipspubs/fip5-2.htm
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FIPS_TO_STATE = {
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'01':'AL', '02':'AK', '04':'AZ', '05':'AR', '06':'CA', '08':'CO', '09':'CT',
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'10':'DE', '11':'DC', '12':'FL', '13':'GA', '15':'HI', '16':'ID', '17':'IL',
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'18':'IN', '19':'IA', '20':'KS', '21':'KY', '22':'LA', '23':'ME', '24':'MD',
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'25':'MA', '26':'MI', '27':'MN', '28':'MS', '29':'MO', '30':'MT', '31':'NE',
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'32':'NV', '33':'NH', '34':'NJ', '35':'NM', '36':'NY', '37':'NC', '38':'ND',
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'39':'OH', '40':'OK', '41':'OR', '42':'PA', '44':'RI', '45':'SC', '46':'SD',
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'47':'TN', '48':'TX', '49':'UT', '50':'VT', '51':'VA', '53':'WA', '54':'WV',
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'55':'WI', '56':'WY', '72':'PR' }
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class Entity(object):
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""" A named list of polygons associated with a political boundary.
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eg. a state, congressional district, or school district"""
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def __init__(self, name, entity, vertices, extents):
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self.name = name
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self.entity = entity
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self.polygons = [Polygon(vlist) for vlist in vertices]
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self.extents = extents
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@staticmethod
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def from_shapefile(obj, rec):
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""" Factory function that creates a Entity (or derived class) from
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a census.gov shapefile. """
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# by using the LSAD determine if a subclass is defined for this entity
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lsad_mapping = {
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('01'): State,
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('C1', 'C2', 'C3', 'C4'): CongressDistrict
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}
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for lsads, cls in lsad_mapping.iteritems():
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if rec['LSAD'] in lsads:
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return cls.from_shapefile(obj, rec)
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# if there is no mapping for the LSAD just construct a Entity
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return Entity('', rec['LSAD_TRANS'], obj.vertices(), obj.extents())
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def in_rect(self, point):
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""" Check if a point lies within the bounding extents of the entity """
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return self.extents[0][0] < point[0] < self.extents[1][0] and \
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self.extents[0][1] < point[1] < self.extents[1][1]
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def contains(self, point):
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""" Check if a point lies within any of the entities polygons """
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if self.in_rect(point):
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for poly in self.polygons:
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if poly.contains(point):
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return True
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return False
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def to_kml(self):
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""" Return a KML Placemark representing the entity """
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return """<Placemark><name>%s</name>
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<MultiGeometry>%s</MultiGeometry>
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</Placemark>""" % (self.name, ''.join(poly.to_kml() for poly in self.polygons))
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class CongressDistrict(Entity):
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""" Entity with state and district properties. """
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def __init__(self, entity, vertices, extents, state, district):
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Entity.__init__(self, '%s-%s' % (state, district),
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entity, vertices, extents)
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self.state = state
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self.district = district
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@staticmethod
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def from_shapefile(obj, rec):
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""" Construct a CongressDistrict from a census.gov shapefile """
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return CongressDistrict(rec['LSAD_TRANS'], obj.vertices(),
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obj.extents(), FIPS_TO_STATE[rec['STATE']],
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rec['CD'])
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class State(Entity):
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""" Entity for states, adds a state property """
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def __init__(self, vertices, extents, state):
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Entity.__init__(self, 'State', state, vertices, extents)
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self.state = state
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@staticmethod
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def from_shapefile(obj, rec):
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""" Construct a State from a census.gov shapefile """
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return State(obj.vertices(), obj.extents(), rec['NAME'])
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def read_census_shapefile(filename):
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"""Read census shapefile and return list of entity-derived objects.
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Given the base name of a census .shp/.dbf file returns a list of all
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Entity-derived objects described by the the file.
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"""
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try:
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shp = ShapeFile(filename)
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except IOError:
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raise ShapefileError('Could not open %s.shp' % filename)
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try:
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dbf = DBFFile(filename)
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except IOError:
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raise ShapefileError('Could not open %s.dbf' % filename)
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shape_count = shp.info()[0]
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# shape_count should always equal dbf.record_count()
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if shape_count != dbf.record_count():
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raise ShapefileError('SHP/DBF record count mismatch (SHP=%d, DBF=%d)' %
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(shape_count, dbf.record_count()))
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# generator version
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#for i in xrange(shp.info()[0]):
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# yield Entity.fromShapefile(shp.read_object(i), dbf.read_record(i))
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# shp.info()[0] is the number of objects
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return [Entity.from_shapefile(shp.read_object(i), dbf.read_record(i))
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for i in xrange(shape_count)]
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### Geocoding ###
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class AddressToDistrictService(object):
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"""Reusable service which maps addresses to districts using the census
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data and the google geocoder.
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Usage:
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service = AddressToDistrictService('google-maps-apikey','path-to-cd99')
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lat,lng,district = service.address_to_district('address')
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"""
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def __init__(self, apikey, census_file):
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"""AddressToDistrictService constructor
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Initialize given a google maps API key and a path to a census.gov
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all congressional districts (cd99) dataset.
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Google maps API keys are available from:
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http://www.google.com/apis/maps/signup.html
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The cd99_110 dataset is available from:
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http://www.census.gov/geo/www/cob/cd110.html
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"""
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self.apikey = apikey
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self.boundaries = read_census_shapefile(census_file)
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def geocode(self, address):
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"""Convert an address into a latitude/longitude via google maps"""
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url = 'http://maps.google.com/maps/geo?output=csv&q=%s&key=%s' % \
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(urllib.quote(address), self.apikey)
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# returns status,level-of-detail,lat,long
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status, lat, lat, lng = urllib.urlopen(url).read().split(',')
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# 200 - OK
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if status == '200':
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return lat, lng
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else:
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raise GeocodingError(status)
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def address_to_district(self, address):
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"""Given an address returns the congressional district it lies within.
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This function works by geocoding the address and then finding the point
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that the returned lat/long returned lie within.
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"""
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lat, lng = self.geocode(address)
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flat, flng = float(lat), float(lng)
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return lat, lng, [(cb.state, cb.district) for cb in self.boundaries
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if cb.contains((flng,flat))]
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