[languages] using country_and_languages method in OSM, neighborhoods and OpenAddresses

This commit is contained in:
Al
2016-10-05 02:49:55 -04:00
parent 98a8d898a1
commit faf418decb
7 changed files with 95 additions and 88 deletions

View File

@@ -35,6 +35,7 @@ from geodata.math.sampling import cdf, weighted_choice
from geodata.names.normalization import name_affixes
from geodata.osm.components import osm_address_components
from geodata.places.config import place_config
from geodata.polygons.reverse_geocode import OSMCountryReverseGeocoder
from geodata.states.state_abbreviations import state_abbreviations
from geodata.text.utils import is_numeric
@@ -69,7 +70,7 @@ class AddressComponents(object):
prefixes like "London Borough of", pruning duplicates like "Antwerpen, Antwerpen, Antwerpen".
Usage:
>>> components = AddressComponents(osm_admin_rtree, language_rtree, neighborhoods_rtree, buildings_rtree, subdivisions_rtree, quattroshapes_rtree, geonames)
>>> components = AddressComponents(osm_admin_rtree, neighborhoods_rtree, buildings_rtree, subdivisions_rtree, quattroshapes_rtree, geonames)
>>> components.expand({'name': 'Hackney Empire'}, 51.54559, -0.05567)
Returns (results vary because of randomness):
@@ -145,7 +146,7 @@ class AddressComponents(object):
AddressFormatter.UNIT: Unit,
}
def __init__(self, osm_admin_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames):
def __init__(self, osm_admin_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames):
self.config = yaml.load(open(PARSER_DEFAULT_CONFIG))
self.setup_component_dependencies()
@@ -153,7 +154,6 @@ class AddressComponents(object):
self.address_level_dropout_probabilities = {k: v['probability'] for k, v in six.iteritems(self.config['dropout'])}
self.osm_admin_rtree = osm_admin_rtree
self.language_rtree = language_rtree
self.neighborhoods_rtree = neighborhoods_rtree
self.quattroshapes_rtree = quattroshapes_rtree
self.geonames = geonames
@@ -249,6 +249,9 @@ class AddressComponents(object):
def osm_reverse_geocoded_components(self, latitude, longitude):
return self.osm_admin_rtree.point_in_poly(latitude, longitude, return_all=True)
def osm_country_and_languages(self, osm_components):
return OSMCountryReverseGeocoder.country_and_languages_from_components(osm_components)
def categorize_osm_component(self, country, props, containing_components):
containing_ids = [(c['type'], c['id']) for c in containing_components if 'type' in c and 'id' in c]
@@ -288,17 +291,16 @@ class AddressComponents(object):
language = None
if len(candidate_languages) == 1:
language = candidate_languages[0]['lang']
language = candidate_languages[0][0]
else:
street = components.get(AddressFormatter.ROAD, None)
lang_tuples = [(l['lang'], l['default']) for l in candidate_languages]
if street is not None:
language = disambiguate_language(street, lang_tuples)
language = disambiguate_language(street, candidate_languages)
else:
if has_non_latin_script(lang_tuples):
if has_non_latin_script(candidate_languages):
for component, value in six.iteritems(components):
language, script_langs = disambiguate_language_script(value, lang_tuples)
language, script_langs = disambiguate_language_script(value, candidate_languages)
if language is not UNKNOWN_LANGUAGE:
break
else:
@@ -1247,16 +1249,14 @@ class AddressComponents(object):
except Exception:
return None, None, None
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
return None, None, None
osm_components = self.osm_reverse_geocoded_components(latitude, longitude)
country, candidate_languages = self.osm_country_and_languages(osm_components)
more_than_one_official_language = len(candidate_languages) > 1
non_local_language = None
language_suffix = ''
osm_components = self.osm_reverse_geocoded_components(latitude, longitude)
neighborhoods = self.neighborhood_components(latitude, longitude)
all_osm_components = osm_components + neighborhoods
@@ -1272,7 +1272,7 @@ class AddressComponents(object):
if address_state:
address_components[AddressFormatter.STATE] = address_state
all_languages = set([l['lang'] for l in candidate_languages])
all_languages = set([l for l, d in candidate_languages])
self.normalize_place_names(address_components, all_osm_components, country=country, languages=all_languages)
@@ -1329,7 +1329,9 @@ class AddressComponents(object):
except Exception:
return None, None, None
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
osm_components = self.osm_reverse_geocoded_components(latitude, longitude)
country, candidate_languages = self.osm_country_and_languages(osm_components)
if not (country and candidate_languages):
return None, None, None
@@ -1355,10 +1357,9 @@ class AddressComponents(object):
street = address_components.get(AddressFormatter.ROAD)
osm_components = self.osm_reverse_geocoded_components(latitude, longitude)
neighborhoods = self.neighborhood_components(latitude, longitude)
all_languages = set([l['lang'] for l in candidate_languages])
all_languages = set([l for l, d in candidate_languages])
all_osm_components = osm_components + neighborhoods
language_suffix = self.pick_language_suffix(all_osm_components, language, non_local_language, more_than_one_official_language)

View File

@@ -23,7 +23,7 @@ from geodata.osm.definitions import osm_definitions
from geodata.osm.extract import parse_osm, osm_type_and_id, NODE, WAY, RELATION, OSM_NAME_TAGS
from geodata.polygons.index import *
from geodata.polygons.language_polys import LanguagePolygonIndex
from geodata.polygons.reverse_geocode import QuattroshapesReverseGeocoder, OSMReverseGeocoder
from geodata.polygons.reverse_geocode import QuattroshapesReverseGeocoder, OSMCountryReverseGeocoder, OSMReverseGeocoder
from geodata.statistics.tf_idf import IDFIndex
@@ -234,7 +234,7 @@ class NeighborhoodReverseGeocoder(RTreePolygonIndex):
return doc
@classmethod
def create_from_osm_and_quattroshapes(cls, filename, quattroshapes_dir, language_rtree_dir, osm_rtree_dir, output_dir):
def create_from_osm_and_quattroshapes(cls, filename, quattroshapes_dir, country_rtree_dir, osm_rtree_dir, output_dir):
'''
Given an OSM file (planet or some other bounds) containing neighborhoods
as points (some suburbs have boundaries)
@@ -259,7 +259,7 @@ class NeighborhoodReverseGeocoder(RTreePolygonIndex):
logger.info('Creating ClickThatHood neighborhoods')
cth = ClickThatHoodReverseGeocoder.create_neighborhoods_index()
language_rtree = LanguagePolygonIndex.load(language_rtree_dir)
country_rtree = OSMCountryReverseGeocoder.load(country_rtree_dir)
osm_admin_rtree = OSMReverseGeocoder.load(osm_rtree_dir)
@@ -307,7 +307,8 @@ class NeighborhoodReverseGeocoder(RTreePolygonIndex):
possible_neighborhood = osm_definitions.meets_definition(attrs, osm_definitions.NEIGHBORHOOD)
is_neighborhood = attrs.get('place') in ('neighbourhood', 'neighborhood')
country, candidate_languages, language_props = language_rtree.country_and_languages(lat, lon)
country, candidate_languages = country_rtree.country_and_languages(lat, lon)
component_name = None
component_name = osm_address_components.component_from_properties(country, attrs)
@@ -473,8 +474,8 @@ if __name__ == '__main__':
parser.add_argument('-a', '--osm-admin-rtree-dir',
help='Path to OSM admin rtree dir')
parser.add_argument('-l', '--language-rtree-dir',
help='Path to language rtree dir')
parser.add_argument('-c', '--country-rtree-dir',
help='Path to country rtree dir')
parser.add_argument('-n', '--osm-neighborhoods-file',
help='Path to OSM neighborhoods file (no dependencies, .osm format)')
@@ -486,10 +487,11 @@ if __name__ == '__main__':
logging.basicConfig(level=logging.INFO)
args = parser.parse_args()
if args.osm_neighborhoods_file and args.quattroshapes_dir and args.osm_admin_rtree_dir and args.language_rtree_dir:
if args.osm_neighborhoods_file and args.quattroshapes_dir and args.osm_admin_rtree_dir and args.country_rtree_dir:
index = NeighborhoodReverseGeocoder.create_from_osm_and_quattroshapes(
args.osm_neighborhoods_file,
args.quattroshapes_dir,
args.country_rtree_dir,
args.language_rtree_dir,
args.osm_admin_rtree_dir,
args.out_dir

View File

@@ -67,9 +67,9 @@ class OpenAddressesFormatter(object):
re.I | re.UNICODE)
unit_type_regexes[lang] = pattern
def __init__(self, components, debug=False):
def __init__(self, components, country_rtree, debug=False):
self.components = components
self.language_rtree = components.language_rtree
self.country_rtree = country_rtree
self.debug = debug
@@ -309,7 +309,7 @@ class OpenAddressesFormatter(object):
continue
if components:
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = self.country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
continue

View File

@@ -15,7 +15,7 @@ from geodata.addresses.components import AddressComponents
from geodata.geonames.db import GeoNamesDB
from geodata.polygons.language_polys import LanguagePolygonIndex
from geodata.neighborhoods.reverse_geocode import NeighborhoodReverseGeocoder
from geodata.polygons.reverse_geocode import OSMReverseGeocoder, QuattroshapesReverseGeocoder
from geodata.polygons.reverse_geocode import OSMReverseGeocoder, OSMCountryReverseGeocoder, QuattroshapesReverseGeocoder
if __name__ == '__main__':
@@ -35,9 +35,9 @@ if __name__ == '__main__':
default=False,
help='Save untagged formatted addresses (slow)')
parser.add_argument('--language-rtree-dir',
parser.add_argument('--country-rtree-dir',
required=True,
help='Language RTree directory')
help='Country RTree directory')
parser.add_argument('--rtree-dir',
default=None,
@@ -66,7 +66,7 @@ if __name__ == '__main__':
args = parser.parse_args()
language_rtree = LanguagePolygonIndex.load(args.language_rtree_dir)
country_rtree = OSMCountryReverseGeocoder.load(args.country_rtree_dir)
osm_rtree = None
if args.rtree_dir:
@@ -86,7 +86,7 @@ if __name__ == '__main__':
geonames = GeoNamesDB(args.geonames_db)
if args.openaddresses_dir and args.format:
components = AddressComponents(osm_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
components = AddressComponents(osm_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
oa_formatter = OpenAddressesFormatter(components, debug=args.debug)
oa_formatter = OpenAddressesFormatter(components, country_rtree, debug=args.debug)
oa_formatter.build_training_data(args.openaddresses_dir, args.out_dir, tag_components=not args.untagged)

View File

@@ -7,7 +7,7 @@ import six
import sys
import yaml
from collections import OrderedDict
from collections import defaultdict, OrderedDict, Counter
from six import itertools
this_dir = os.path.realpath(os.path.dirname(__file__))
@@ -109,8 +109,8 @@ class OSMAddressFormatter(object):
('is_in:region', AddressFormatter.STATE),
# Used in Tunisia
('addr:governorate', AddressFormatter.STATE),
('addr:postal_code', AddressFormatter.POSTCODE),
('addr:postcode', AddressFormatter.POSTCODE),
('addr:postal_code', AddressFormatter.POSTCODE),
('addr:zipcode', AddressFormatter.POSTCODE),
('postal_code', AddressFormatter.POSTCODE),
('addr:country', AddressFormatter.COUNTRY),
@@ -138,6 +138,8 @@ class OSMAddressFormatter(object):
'commercial': AddressComponents.zones.COMMERCIAL,
'industrial': AddressComponents.zones.INDUSTRIAL,
'residential': AddressComponents.zones.RESIDENTIAL,
'university': AddressComponents.zones.UNIVERSITY,
'college': AddressComponents.zones.UNIVERSITY,
},
'amenity': {
'university': AddressComponents.zones.UNIVERSITY,
@@ -147,10 +149,10 @@ class OSMAddressFormatter(object):
boundary_component_priorities = {k: i for i, k in enumerate(AddressFormatter.BOUNDARY_COMPONENTS_ORDERED)}
def __init__(self, components, subdivisions_rtree=None, buildings_rtree=None, metro_stations_index=None):
def __init__(self, components, country_rtree, subdivisions_rtree=None, buildings_rtree=None, metro_stations_index=None):
# Instance of AddressComponents, contains structures for reverse geocoding, etc.
self.components = components
self.language_rtree = components.language_rtree
self.country_rtree = country_rtree
self.subdivisions_rtree = subdivisions_rtree
self.buildings_rtree = buildings_rtree
@@ -168,7 +170,7 @@ class OSMAddressFormatter(object):
if len(candidate_languages) > 1:
street = tags.get('addr:street', None)
namespaced = [l['lang'] for l in candidate_languages if 'addr:street:{}'.format(l['lang']) in tags]
namespaced = [l for l, d in candidate_languages if 'addr:street:{}'.format(l) in tags]
if namespaced and random.random() < pick_namespaced_language_prob:
language = random.choice(namespaced)
@@ -344,7 +346,6 @@ class OSMAddressFormatter(object):
return True
return False
def add_metro_station(self, address_components, latitude, longitude, language=None, default_language=None):
'''
Metro stations
@@ -476,19 +477,10 @@ class OSMAddressFormatter(object):
return (), None
osm_components = self.components.osm_reverse_geocoded_components(latitude, longitude)
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
if country and candidate_languages:
local_languages = [(l['lang'], bool(int(l['default']))) for l in candidate_languages]
else:
for c in reversed(osm_components):
country = c.get('ISO3166-1:alpha2')
if country:
country = country.lower()
break
else:
return (), None
local_languages = [(lang, bool(int(default))) for lang, default in get_country_languages(country).iteritems()]
country, candidate_languages = OSMCountryReverseGeocoder.country_and_languages_from_components(osm_components)
local_languages = candidate_languages
all_local_languages = set([l for l, d in local_languages])
random_languages = set(INTERNET_LANGUAGE_DISTRIBUTION)
@@ -551,12 +543,17 @@ class OSMAddressFormatter(object):
# Calculate how many records to produce for this place given its population
population_divisor = 10000 # Add one record for every 10k in population
min_references = 5 # Every place gets at least 5 reference to account for variations
if component_name == AddressFormatter.CITY:
# Cities get a few extra references over e.g. a state_district with the same name
# so that if the population is unknown, hopefully the city will have more references
# and the parser will prefer that meaning
min_references += 2
max_references = 1000 # Cap the number of references e.g. for India and China country nodes
num_references = min(population / population_divisor + min_references, max_references)
cldr_country_prob = float(nested_get(self.config, ('places', 'cldr_country_probability'), default=0.0))
for name_tag in ('name', 'alt_name', 'loc_name', 'short_name', 'int_name'):
for name_tag in ('name', 'alt_name', 'loc_name', 'short_name', 'int_name', 'name:simple', 'official_name'):
if more_than_one_official_language:
name = tags.get(name_tag)
language_suffix = ''
@@ -757,7 +754,7 @@ class OSMAddressFormatter(object):
except Exception:
return None, None, None
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = self.country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
return None, None, None
@@ -880,7 +877,7 @@ class OSMAddressFormatter(object):
except Exception:
return None, None, None
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = self.country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
return None, None, None
@@ -986,8 +983,10 @@ class OSMAddressFormatter(object):
for node_id, tags, deps in parse_osm(infile):
tags['type'], tags['id'] = node_id.split(':')
place_tags, country = self.node_place_tags(tags)
for address_components, language, is_default in place_tags:
addresses = self.formatted_places(address_components, country, language)
if language is None:
language = UNKNOWN_LANGUAGE
@@ -1083,11 +1082,11 @@ class OSMAddressFormatter(object):
except Exception:
continue
country, candidate_languages, language_props = self.language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = self.country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
continue
more_than_one_official_language = sum((1 for l in candidate_languages if int(l['default']))) > 1
more_than_one_official_language = sum((1 for l, d in candidate_languages if d)) > 1
base_name_tag = None
for t in all_base_name_tags:
@@ -1103,7 +1102,7 @@ class OSMAddressFormatter(object):
names = defaultdict(list)
if len(candidate_languages) == 1:
default_language = candidate_languages[0]['lang']
default_language = candidate_languages[0][0]
elif not more_than_one_official_language:
default_language = None
name = way['name']

View File

@@ -12,25 +12,25 @@ plenty of disk space. The following commands can be used in parallel to create
all the training sets:
Ways:
python osm_address_training_data.py -s $(OSM_DIR)/planet-ways.osm --language-rtree-dir=$(RTREE_DIR) -o $(OUT_DIR)
python osm_address_training_data.py -s $(OSM_DIR)/planet-ways.osm --country-rtree-dir=$(RTREE_DIR) -o $(OUT_DIR)
Venues:
python osm_address_training_data.py -v $(OSM_DIR)/planet-venues.osm --language-rtree-dir=$(RTREE_DIR) -o $(OUT_DIR)
python osm_address_training_data.py -v $(OSM_DIR)/planet-venues.osm --country-rtree-dir=$(RTREE_DIR) -o $(OUT_DIR)
Limited formatted addresses:
python osm_address_training_data.py -a -l $(OSM_DIR)/planet-addresses.osm --language-rtree-dir=$(LANG_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) -o $(OUT_DIR)
python osm_address_training_data.py -a -l $(OSM_DIR)/planet-addresses.osm --country-rtree-dir=$(COUNTRY_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) -o $(OUT_DIR)
Formatted addresses (tagged):
python osm_address_training_data.py -a $(OSM_DIR)/planet-addresses.osm -f --language-rtree-dir=$(LANG_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
python osm_address_training_data.py -a $(OSM_DIR)/planet-addresses.osm -f --country-rtree-dir=$(COUNTRY_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
Formatted addresses (untagged):
python osm_address_training_data.py -a $(OSM_DIR)/planet-addresses.osm -f -u --language-rtree-dir=$(LANG_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
python osm_address_training_data.py -a $(OSM_DIR)/planet-addresses.osm -f -u --country-rtree-dir=$(COUNTRY_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
Intersections (after running intersections.py to create the JSON file):
python osm_address_training_data -x $(OSM_DIR)/intersections.json -f --language-rtree-dir=$(LANG_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
python osm_address_training_data -x $(OSM_DIR)/intersections.json -f --country-rtree-dir=$(COUNTRY_RTREE_DIR) --neighborhoods-rtree-dir=$(NEIGHBORHOODS_RTREE_DIR) --rtree-dir=$(RTREE_DIR) --quattroshapes-rtree-dir=$(QS_TREE_DIR) --geonames-db=$(GEONAMES_DB_PATH) -o $(OUT_DIR)
Toponyms:
python osm_address_training_data.py -b $(OSM_DIR)/planet-borders.osm --language-rtree-dir=$(LANG_RTREE_DIR) -o $(OUT_DIR)
python osm_address_training_data.py -b $(OSM_DIR)/planet-borders.osm --country-rtree-dir=$(COUNTRY_RTREE_DIR) -o $(OUT_DIR)
'''
import argparse
@@ -91,7 +91,7 @@ def normalize_osm_name_tag(tag, script=False):
return norm.split('_', 1)[0]
def get_language_names(language_rtree, key, value, tag_prefix='name'):
def get_language_names(country_rtree, key, value, tag_prefix='name'):
if not ('lat' in value and 'lon' in value):
return None, None
@@ -104,7 +104,7 @@ def get_language_names(language_rtree, key, value, tag_prefix='name'):
except Exception:
return None, None
country, candidate_languages, language_props = language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
return None, None
@@ -177,7 +177,7 @@ def get_language_names(language_rtree, key, value, tag_prefix='name'):
return country, name_language
def build_ways_training_data(language_rtree, infile, out_dir, abbreviate_streets=True):
def build_ways_training_data(country_rtree, infile, out_dir, abbreviate_streets=True):
'''
Creates a training set for language classification using most OSM ways
(streets) under a fairly lengthy osmfilter definition which attempts to
@@ -193,7 +193,7 @@ def build_ways_training_data(language_rtree, infile, out_dir, abbreviate_streets
writer = csv.writer(f, 'tsv_no_quote')
for key, value, deps in parse_osm(infile, allowed_types=WAYS_RELATIONS):
country, name_language = get_language_names(language_rtree, key, value, tag_prefix='name')
country, name_language = get_language_names(country_rtree, key, value, tag_prefix='name')
if not name_language:
continue
@@ -242,7 +242,7 @@ POSTAL_KEYS = (
)
def build_toponym_training_data(language_rtree, infile, out_dir):
def build_toponym_training_data(country_rtree, infile, out_dir):
'''
Data set of toponyms by language and country which should assist
in language classification. OSM tends to use the native language
@@ -268,7 +268,7 @@ def build_toponym_training_data(language_rtree, infile, out_dir):
except Exception:
continue
country, candidate_languages, language_props = language_rtree.country_and_languages(latitude, longitude)
country, candidate_languages = country_rtree.country_and_languages(latitude, longitude)
if not (country and candidate_languages):
continue
@@ -340,7 +340,7 @@ def build_toponym_training_data(language_rtree, infile, out_dir):
f.close()
def build_address_training_data(langauge_rtree, infile, out_dir, format=False):
def build_address_training_data(country_rtree, infile, out_dir, format=False):
'''
Creates training set similar to the ways data but using addr:street tags instead.
These may be slightly closer to what we'd see in real live addresses, containing
@@ -354,7 +354,7 @@ def build_address_training_data(langauge_rtree, infile, out_dir, format=False):
writer = csv.writer(f, 'tsv_no_quote')
for key, value, deps in parse_osm(infile):
country, street_language = get_language_names(language_rtree, key, value, tag_prefix='addr:street')
country, street_language = get_language_names(country_rtree, key, value, tag_prefix='addr:street')
if not street_language:
continue
@@ -374,14 +374,14 @@ def build_address_training_data(langauge_rtree, infile, out_dir, format=False):
VENUE_LANGUAGE_DATA_FILENAME = 'names_by_language.tsv'
def build_venue_training_data(language_rtree, infile, out_dir):
def build_venue_training_data(country_rtree, infile, out_dir):
i = 0
f = open(os.path.join(out_dir, VENUE_LANGUAGE_DATA_FILENAME), 'w')
writer = csv.writer(f, 'tsv_no_quote')
for key, value, deps in parse_osm(infile):
country, name_language = get_language_names(language_rtree, key, value, tag_prefix='name')
country, name_language = get_language_names(country_rtree, key, value, tag_prefix='name')
if not name_language:
continue
@@ -455,9 +455,9 @@ if __name__ == '__main__':
parser.add_argument('-x', '--intersections-file',
help='Path to planet-ways-latlons.osm')
parser.add_argument('--language-rtree-dir',
parser.add_argument('--country-rtree-dir',
required=True,
help='Language RTree directory')
help='Country RTree directory')
parser.add_argument('--rtree-dir',
default=None,
@@ -493,7 +493,8 @@ if __name__ == '__main__':
args = parser.parse_args()
language_rtree = LanguagePolygonIndex.load(args.language_rtree_dir)
country_rtree = OSMCountryReverseGeocoder.load(args.country_rtree_dir)
osm_rtree = None
if args.rtree_dir:
osm_rtree = OSMReverseGeocoder.load(args.rtree_dir)
@@ -525,11 +526,11 @@ if __name__ == '__main__':
# Can parallelize
if args.streets_file:
build_ways_training_data(language_rtree, args.streets_file, args.out_dir, abbreviate_streets=not args.unabbreviated)
build_ways_training_data(country_rtree, args.streets_file, args.out_dir, abbreviate_streets=not args.unabbreviated)
if args.borders_file:
build_toponym_training_data(language_rtree, args.borders_file, args.out_dir)
build_toponym_training_data(country_rtree, args.borders_file, args.out_dir)
if args.venues_file:
build_venue_training_data(language_rtree, args.venues_file, args.out_dir)
build_venue_training_data(country_rtree, args.venues_file, args.out_dir)
if args.address_file or args.intersections_file:
if osm_rtree is None:
@@ -542,20 +543,20 @@ if __name__ == '__main__':
parser.error('--geonames-db required for formatted addresses')
if args.address_file and args.format:
components = AddressComponents(osm_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, subdivisions_rtree, buildings_rtree, metro_stations_index)
components = AddressComponents(osm_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, country_rtree, subdivisions_rtree, buildings_rtree, metro_stations_index)
osm_formatter.build_training_data(args.address_file, args.out_dir, tag_components=not args.untagged)
if args.address_file and args.limited_addresses:
components = AddressComponents(osm_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, subdivisions_rtree, buildings_rtree, metro_stations_index, splitter=u' ')
components = AddressComponents(osm_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, country_rtree, subdivisions_rtree, buildings_rtree, metro_stations_index, splitter=u' ')
osm_formatter.build_limited_training_data(args.address_file, args.out_dir)
if args.place_nodes_file and args.format:
components = AddressComponents(osm_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, subdivisions_rtree, buildings_rtree, metro_stations_index)
components = AddressComponents(osm_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, country_rtree, subdivisions_rtree, buildings_rtree, metro_stations_index)
osm_formatter.build_place_training_data(args.place_nodes_file, args.out_dir, tag_components=not args.untagged)
if args.intersections_file and args.format:
components = AddressComponents(osm_rtree, language_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, subdivisions_rtree, buildings_rtree, metro_stations_index)
components = AddressComponents(osm_rtree, neighborhoods_rtree, quattroshapes_rtree, geonames)
osm_formatter = OSMAddressFormatter(components, country_rtree, subdivisions_rtree, buildings_rtree, metro_stations_index)
osm_formatter.build_intersections_training_data(args.intersections_file, args.out_dir, tag_components=not args.untagged)

View File

@@ -465,7 +465,7 @@ class OSMCountryReverseGeocoder(OSMReverseGeocoder):
polygon_reader = OSMCountryPolygonReader
@classmethod
def country_and_languages(cls, osm_components):
def country_and_languages_from_components(cls, osm_components):
country = None
for c in reversed(osm_components):
country = c.get('ISO3166-1:alpha2')
@@ -501,6 +501,10 @@ class OSMCountryReverseGeocoder(OSMReverseGeocoder):
return country, default_languages
def country_and_languages(self, lat, lon):
osm_components = self.point_in_poly(lat, lon, return_all=True)
return self.country_and_languages_from_components(osm_components)
if __name__ == '__main__':
# Handle argument parsing here