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improve cities select; add mixed time view
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,158 @@ | ||
| import csv | ||
| import io | ||
| import json | ||
| import typing | ||
| import zipfile | ||
| from collections import defaultdict | ||
| from dataclasses import dataclass, fields | ||
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| import httpx | ||
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| @dataclass | ||
| class TypedTrait: | ||
| def __unbound(self, t, v): | ||
| try: | ||
| return t(v) | ||
| except ValueError: | ||
| return t() # default value for type | ||
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| def __post_init__(self): | ||
| for f in fields(self.__class__): | ||
| v = getattr(self, f.name) | ||
| if typing.get_origin(f.type) is list: | ||
| g = typing.get_args(f.type)[0] | ||
| setattr(self, f.name, [self.__unbound(g, x) for x in v.split(",")]) | ||
| else: | ||
| setattr(self, f.name, self.__unbound(f.type, v)) | ||
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| def __getitem__(self, key): | ||
| return getattr(self, key) | ||
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| @dataclass | ||
| class City(TypedTrait): | ||
| # https://download.geonames.org/export/dump/readme.txt | ||
| geonameid: int | ||
| name: str | ||
| asciiname: str | ||
| alternatenames: list[str] | ||
| latitude: float | ||
| longitude: float | ||
| feature_class: str | ||
| feature_code: str | ||
| country_code: str | ||
| cc2: str | ||
| admin1_code: str | ||
| admin2_code: str | ||
| admin3_code: str | ||
| admin4_code: str | ||
| population: int | ||
| elevation: int | ||
| dem: int | ||
| timezone: str | ||
| modification_date: str | ||
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| @dataclass | ||
| class Country(TypedTrait): | ||
| # https://download.geonames.org/export/dump/countryInfo.txt | ||
| iso: str | ||
| iso3: str | ||
| iso_numeric: int | ||
| fips: str | ||
| country: str | ||
| capital: str | ||
| area: int | ||
| population: int | ||
| continent: str | ||
| tld: str | ||
| currency_code: str | ||
| currency_name: str | ||
| phone: str | ||
| postal_code_format: str | ||
| postal_code_regex: str | ||
| languages: list[str] | ||
| geonameid: int | ||
| neighbours: list[str] | ||
| equivalent_fips_code: str | ||
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| def get_cities(): | ||
| rep = httpx.get("https://download.geonames.org/export/dump/cities15000.zip") | ||
| rep.raise_for_status() | ||
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| with zipfile.ZipFile(io.BytesIO(rep.content)) as zip: | ||
| assert len(zip.namelist()) == 1 | ||
| data = zip.read(zip.namelist()[0]).decode("utf-8").splitlines() | ||
| rows = csv.reader(data, delimiter="\t") | ||
| return [City(*row) for row in rows] | ||
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| def get_countries(): | ||
| rep = httpx.get("https://download.geonames.org/export/dump/countryInfo.txt") | ||
| rep.raise_for_status() | ||
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| data = rep.text.split("EquivalentFipsCode")[1].splitlines() | ||
| data = [x for x in data if len(x)] | ||
| rows = csv.reader(data, delimiter="\t") | ||
| return [Country(*row) for row in rows] | ||
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| MIN_POPULATION = 75_000 | ||
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| def main(): | ||
| cities = get_cities() | ||
| # cities = [x for x in cities if x.population >= 100_000] | ||
| cities = sorted(cities, key=lambda x: x.population, reverse=True) | ||
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| timezones = sorted([x.timezone for x in cities]) | ||
| timezones_idx = {x: i for i, x in enumerate(timezones)} | ||
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| countries = sorted([[x.iso, x.country] for x in get_countries()]) | ||
| countries_idx = {x[0]: i for i, x in enumerate(countries)} | ||
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| features_count = defaultdict(int) | ||
| for x in cities: | ||
| if x.population < MIN_POPULATION: | ||
| continue | ||
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| features_count[x.feature_code] += 1 | ||
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| features_count = sorted(features_count.items(), key=lambda x: x[1], reverse=True) | ||
| for k, v in features_count: | ||
| print(k, v) | ||
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| # https://www.geonames.org/export/codes.html | ||
| features_skip = set(["PPLA5", "PPLA4", "PPLA3"]) | ||
| cities = [x for x in cities if x.feature_code not in features_skip] | ||
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| cities_by_country: dict[str, list[City]] = defaultdict(list) | ||
| for x in cities: | ||
| cities_by_country[x.country_code].append(x) | ||
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| places = [] | ||
| for x in countries: | ||
| items = cities_by_country.get(x[0], []) | ||
| # always first 3 cities + other big cities | ||
| items = items[:3] + [x for x in items[3:] if x.population >= MIN_POPULATION] | ||
| if not len(items): | ||
| # print(f"Missing cities for {x[0]}") | ||
| continue | ||
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| for x in items: | ||
| tz_idx, ct_idx = timezones_idx[x.timezone], countries_idx[x.country_code] | ||
| r = [x.geonameid, x.name, tz_idx, ct_idx] | ||
| places.append(r) | ||
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| print(f"{len(places)} of {len(cities)}") | ||
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| with open("src/utils/geonames.json", "w") as fp: | ||
| data = dict(timezones=timezones, countries=countries, cities=places) | ||
| # json.dump(data, fp, indent=2, ensure_ascii=False) | ||
| json.dump(data, fp) | ||
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| if __name__ == "__main__": | ||
| main() |
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