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[openaddresses] using the new fuzzy equivalence comparison to check if suburb and city names are equal

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Al
2016-12-23 02:08:53 -05:00
parent 0814381d7f
commit 441ec00289
1 changed files with 2 additions and 3 deletions
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5
scripts/geodata/addresses/components.py
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@@ -13,6 +13,7 @@ from itertools import combinations
from geodata.address_formatting.formatter import AddressFormatter from geodata.address_formatting.formatter import AddressFormatter
from geodata.address_expansions.abbreviations import abbreviate from geodata.address_expansions.abbreviations import abbreviate
from geodata.address_expansions.equivalence import equivalent
from geodata.address_expansions.gazetteers import * from geodata.address_expansions.gazetteers import *
from geodata.addresses.config import address_config from geodata.addresses.config import address_config
from geodata.addresses.dependencies import ComponentDependencies from geodata.addresses.dependencies import ComponentDependencies
@@ -994,8 +995,6 @@ class AddressComponents(object):
raw_name_key = boundary_names.DEFAULT_NAME_KEY raw_name_key = boundary_names.DEFAULT_NAME_KEY
city_name = address_components.get(AddressFormatter.CITY) city_name = address_components.get(AddressFormatter.CITY)
if city_name:
city_name = self.dehyphenate_multiword_name(city_name)
for neighborhood in neighborhoods: for neighborhood in neighborhoods:
place_type = neighborhood.get('place') place_type = neighborhood.get('place')
@@ -1026,7 +1025,7 @@ class AddressComponents(object):
continue continue
# For cases like OpenAddresses # For cases like OpenAddresses
if replace_city and city_name and (name.lower() == city_name.lower() or standard_name.lower() == city_name.lower()): if replace_city and city_name and (equivalent(name, city_name, toponym_abbreviations_gazetteer, language) or equivalent(standard_name, city_name, toponym_abbreviations_gazetteer, language)):
address_components.pop(AddressFormatter.CITY, None) address_components.pop(AddressFormatter.CITY, None)
city_name = None city_name = None
address_components[neighborhood_level] = name address_components[neighborhood_level] = name