forked from OpenUpSA/address2ward
/
converters.py
347 lines (288 loc) · 11.6 KB
/
converters.py
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import urllib2, urllib
import csv
import logging
import json
from datetime import datetime
import re
from geopy.geocoders import GoogleV3
import nominatim
from omgeo import Geocoder
from config import configuration, logger
def encode(s, encoding="utf8"):
if type(s) == unicode:
return s.encode(encoding)
return s
def load_mps():
data = {}
reader = csv.reader(open("mp_population.csv"))
mp_headers = reader.next()
for row in reader:
datum = dict(zip(mp_headers, row))
data[datum["MP_NAME"].lower()] = datum
return data
main_places = load_mps()
re_coord = "\s*[+-]?\d+(\.\d+)?\s*"
re_is_latlng = re.compile(r"^{coord},{coord}$".format(coord=re_coord))
class AddressConverter(object):
def __init__(self, curs):
self.curs = curs
self.geolocator = GoogleV3()
self.nominatim = nominatim.Geocoder()
self.geocoder = Geocoder()
self.re_numbers = re.compile("^\d+$")
def reject_all_numbers(self, address):
if self.re_numbers.search(address):
logger.info("Rejected by reject_all_numbers")
return True
return False
def reject_short_words(self, address, length=4):
if len(address) <= length:
logger.info("Rejected by reject_short_words")
return True
return False
def reject_large_main_places(self, address, threshold=15000):
if address in main_places:
population = main_places[address]["Population"]
if int(population) >= threshold:
return True
return False
def reject_resolution_to_main_place(self, address, threshold=15000):
parts = address.split(",")
first = parts[0].strip().lower()
return self.reject_large_main_places(first, threshold)
def reject_partial_match(self, result):
if "partial_match" in result and result["partial_match"]:
return True
return False
def resolve_address_google(self, address, **kwargs):
try:
encoded_address = encode(address)
address = urllib.quote(encoded_address)
url = "https://maps.googleapis.com/maps/api/geocode/json?address=%s&sensor=false®ion=za&key=%s" % (address, configuration["environment"]["google_key"])
response = urllib2.urlopen(url)
js = response.read()
try:
js = json.loads(js)
except ValueError:
logger.exception("Error trying to resolve %s" % address)
return None
results = []
if "status" in js and js["status"] != "OK":
logger.warn("Error trying to resolve %s - %s" % (address, js.get("error_message", "Generic Error")))
return None
if "results" in js and len(js["results"]) > 0:
for result in js["results"]:
res = self.reject_partial_match(result)
if res: continue
if "reject_resolution_to_main_place" in kwargs:
try:
res = self.reject_resolution_to_main_place(result["formatted_address"], int(kwargs["reject_resolution_to_main_place"][0]))
except (ValueError, TypeError):
res = self.resolution_to_main_place(result["formatted_address"])
if res: continue
geom = result["geometry"]["location"]
results.append({
"lat" : geom["lat"],
"lng" : geom["lng"],
"formatted_address" : result["formatted_address"],
"source" : "Google Geocoding API",
})
if len(results) == 0: return None
return results
except Exception:
logger.exception("Error trying to resolve %s" % address)
return None
def resolve_address_esri(self, address):
result = self.geocoder.geocode(address + ", South Africa")
if not result: return None
if not "candidates" in result: return None
if len(result["candidates"]) == 0: return None
candidate = result["candidates"][0]
address = candidate.match_addr
latitude = candidate.y
longitude = candidate.x
return address, latitude, longitude
def resolve_address_nominatim(self, address, **kwargs):
encoded_address = encode(address)
results = self.nominatim.geocode(encoded_address)
return [
{
"lat" : r["lat"],
"lng" : r["lon"],
"formatted_address" : r["display_name"],
"source" : "Nominatim",
}
for r in results
]
def convert_address(self, address, **kwargs):
address = address.strip()
if address == "": return None
if re_is_latlng.match(address):
return self.resolve_coords(address)
if "reject_numbers" in kwargs and self.reject_all_numbers(address): return None
if "reject_short_words" in kwargs:
try:
val = self.reject_short_words(address, int(kwargs["reject_short_words"][0]))
except (TypeError, ValueError):
val = self.reject_short_words(address)
if val: return None
if "reject_large_main_places" in kwargs:
try:
val = self.reject_large_main_places(address, int(kwargs["reject_large_main_places"][0]))
except (TypeError, ValueError):
val = self.reject_large_main_places(address)
if val: return None
if not "south africa" in address.lower():
address = address + ", South Africa"
if "enable_nominatim" in kwargs:
results = self.resolve_address_nominatim(address, **kwargs)
if len(results) > 0:
return results
return self.resolve_address_google(address, **kwargs)
def convert_to_geography(self, sql, latitude, longitude):
poi = (longitude, latitude)
self.curs.execute(sql, poi)
return self.curs.fetchall()
def resolve_coords(self, coords):
try:
lat, lng = [float(s) for s in coords.split(',', 1)]
return [{
"lat" : lat,
"lng" : lng,
"formatted_address" : "%s, %s" % (lat, lng),
"source" : "Direct",
}]
except ValueError:
return None
class WardAddressConverter(AddressConverter):
def convert(self, address, **kwargs):
now1 = datetime.now()
results = self.convert_address(address, **kwargs)
now2 = datetime.now()
if not results: return None
sql = """
SELECT
province,
municname,
ward_id,
ward_no
FROM
wards,
(SELECT ST_MakePoint(%s, %s)::geography AS poi) AS f
WHERE ST_DWithin(geog, poi, 1);"""
wards = []
for result in results:
rows = self.convert_to_geography(sql, result["lat"], result["lng"])
now3 = datetime.now()
for row in rows:
wards.append({
"source" : result["source"],
"address" : result["formatted_address"],
"coords" : (result["lat"], result["lng"]),
"province" : row[0],
"municipality" : row[1],
"ward" : row[2],
"wards_no" : int(row[3]),
"now21" : str(now2 - now1),
"now32" : str(now3 - now2),
"now31" : str(now3 - now1),
})
return wards
class PoliceAddressConverter(AddressConverter):
def convert(self, address, **kwargs):
now1 = datetime.now()
results = self.convert_address(address, **kwargs)
now2 = datetime.now()
if not results: return None
sql = """
SELECT
station
FROM
police,
(SELECT ST_MakePoint(%s, %s)::geography AS poi) AS f
WHERE ST_DWithin(geog, poi, 1);"""
stations = []
for result in results:
rows = self.convert_to_geography(sql, result["lat"], result["lng"])
now3 = datetime.now()
for row in rows:
stations.append({
"station" : row[0],
"address" : result["formatted_address"],
"coords" : (result["lat"], result["lng"]),
})
return stations
class VD2014Converter(AddressConverter):
def convert(self, address, **kwargs):
now1 = datetime.now()
results = self.convert_address(address, **kwargs)
now2 = datetime.now()
if not results: return None
sql = """
SELECT
vd.vd_id, vd.ward_id, vd.munic_id, vd.province,
vs.province, vs.municipali, vs.ward_id,
vs.sstreetvil, vs.ssuburbadm, vs.stowntriba, vs.svs_type,
vs.latitude, vs.longitude, vs.svs_name
FROM
vd_2014 vd
INNER JOIN vs_2014 vs on vd.vd_id = vs.vd_id,
(SELECT ST_MakePoint(%s, %s)::geography AS poi) AS f
WHERE ST_DWithin(vd.geog, poi, 1);"""
vds = []
for result in results:
rows = self.convert_to_geography(sql, result["lat"], result["lng"])
now3 = datetime.now()
for row in rows:
vds.append({
"source" : result["source"],
"voting_district" : str(row[0]),
"ward" : str(row[1]),
"municipality" : str(row[2]),
"province" : str(row[3]),
"address" : result["formatted_address"],
"coords" : (result["lat"], result["lng"]),
"voting_station" : str(row[13]).title(),
})
return vds
class CensusConverter(AddressConverter):
def convert(self, address, **kwargs):
now1 = datetime.now()
results = self.convert_address(address, **kwargs)
now2 = datetime.now()
if not results: return None
sql = """
SELECT
c.sp_code, c.sp_name, c.mp_code, c.mp_name,
c.mn_code, c.mn_name, c.dc_name, c.pr_code, c.pr_name
FROM
sp_sa_2011 c,
(SELECT ST_MakePoint(%s, %s)::geography AS poi) AS f
WHERE ST_DWithin(c.geog, poi, 1);"""
sps = []
for result in results:
rows = self.convert_to_geography(sql, result["lat"], result["lng"])
now3 = datetime.now()
for row in rows:
sps.append({
"source" : result["source"],
"sp_code" : int(row[0]),
"sp_name" : row[1],
"mp_code" : int(row[2]),
"mp_name" : row[3],
"mn_code" : int(row[4]),
"mn_name" : row[5],
"dc_name" : row[6],
"pr_code" : int(row[7]),
"pr_name" : row[8],
"address" : result["formatted_address"],
"coords" : (result["lat"], result["lng"]),
})
return sps
converters = {
"wards_2006" : WardAddressConverter,
"wards_2011" : WardAddressConverter,
"police" : PoliceAddressConverter,
"vd_2014" : VD2014Converter,
"census_2011" : CensusConverter,
}