Files
libpostal-addrss/scripts/geodata/chains/chains_tsv.py
2025-09-06 22:03:29 -04:00

79 lines
2.6 KiB
Python

import csv
import os
import glob
import six
import sys
from collections import defaultdict
from collections import Counter
this_dir = os.path.realpath(os.path.dirname(__file__))
sys.path.append(os.path.realpath(os.path.join(this_dir, os.pardir, os.pardir)))
from geodata.address_expansions.address_dictionaries import ADDRESS_EXPANSIONS_DIR
from geodata.osm.extract import *
from geodata.encoding import safe_encode
class VenueNames(object):
def __init__(self, venues_filename):
self.venues_filename = venues_filename
self.all_chains = set()
self.chain_canonical = {}
for filename in glob.glob(os.path.join(ADDRESS_EXPANSIONS_DIR, '**', 'chains.txt')):
f = open(filename)
for line in f:
line = line.rstrip()
phrases = safe_decode(line).split(six.u('|'))
self.all_chains |= set(phrases)
canonical = phrases[0]
for p in phrases[1:]:
self.chain_canonical[p] = canonical
self.names = Counter()
self.names_lower = Counter()
self.names_cap = defaultdict(Counter)
def count(self):
i = 0
for node_id, value, deps in parse_osm(self.venues_filename):
name = value.get('name')
if not name:
continue
self.names[name] += 1
self.names_lower[name.lower()] += 1
self.names_cap[name.lower()][name] += 1
if i % 1000 == 0 and i > 0:
print 'did', i
i += 1
def write_to_tsv(self, out_filename, min_threshold=5):
writer = csv.writer(open(out_filename, 'w'), delimiter='\t')
for k, v in self.names_lower.most_common():
if v < min_threshold:
break
canonical = self.chain_canonical.get(k)
if canonical:
canonical = self.names_cap[canonical].most_common(1)[0][0]
else:
canonical = ''
most_common_cap = self.names_cap[k].most_common(1)[0][0]
writer.writerow((safe_encode(k),
safe_encode(most_common_cap),
safe_encode(canonical),
safe_encode(1) if k in self.all_chains else '',
safe_encode(v)))
if __name__ == '__main__':
if len(sys.argv) < 3:
print('Usage: python chains_tsv.py infile outfile')
sys.exit(1)
input_file = sys.argv[1]
output_file = sys.argv[2]
names = VenueNames(input_file)
names.count()
names.write_to_tsv(output_file)