teaching a transformer to understand how far apart (common) cities are.
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import concurrent.futures
import csv
import itertools
from concurrent.futures import as_completed
from functools import lru_cache
import geonamescache
import numpy as np
from geopy.distance import geodesic
MAX_DISTANCE = 20_037.5
gc = geonamescache.GeonamesCache()
cities = gc.get_cities()
us_cities = {
k: c
for k, c in cities.items()
if (c.get("countrycode") == "US") # & (c.get("population", 0) > 5e4)
}
@lru_cache(maxsize=None)
def get_coordinates(city_name, country_code="US"):
"""
Get the coordinates of a city.
Parameters
----------
city_name : str
The name of the city.
country_code : str, optional
The country code of the city, by default 'US'.
Returns
-------
tuple
A tuple containing the latitude and longitude of the city,
or None if the city is not found.
"""
search_results = gc.search_cities(city_name, case_sensitive=True)
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search_results = {
k: c
for k, c in search_results.items()
if (c.get("countrycode") == country_code)
}
if not search_results:
return None
populations = [city.get("population") for city in search_results]
city = search_results[np.argmax(populations)]
return city.get("latitude"), city.get("longitude")
def get_distance(city1, city2, country1="US", country2="US"):
"""
Get the distance between two cities in kilometers.
Parameters
----------
city1 : str
The name of the first city.
city2 : str
The name of the second city.
country1 : str, optional
The country code of the first city, by default 'US'.
country2 : str, optional
The country code of the second city, by default 'US'.
Returns
-------
float
The distance between the two cities in kilometers,
or None if one or both city names were not found.
"""
city1_coords = get_coordinates(city1, country1)
city2_coords = get_coordinates(city2, country2)
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if (city1_coords is None) or (city2_coords is None):
return None
return geodesic(city1_coords, city2_coords).km
def calculate_distance(pair):
city1, city2 = pair
distance = get_distance(city1["name"], city2["name"])
return city1["name"], city2["name"], distance
def main():
cities = list(us_cities.values())
print(f"Num cities: {len(cities)}")
city_combinations = list(itertools.combinations(cities, 2))
with open("city_distances_full.csv", "w", newline="") as csvfile:
fieldnames = ["city_from", "city_to", "distance"]
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
try:
executor = concurrent.futures.ProcessPoolExecutor(max_workers=8)
# results = executor.map(calculate_distance, city_combinations)
futures = {
executor.submit(calculate_distance, pair): pair
for pair in city_combinations
}
for future in as_completed(futures):
city_from, city_to, distance = future.result()
if distance is not None:
writer.writerow(
{
"city_from": city_from,
"city_to": city_to,
"distance": distance,
}
)
except KeyboardInterrupt:
print("Interrupted. Terminating processes...")
executor.shutdown(wait=False)
raise SystemExit("Execution terminated by user.")
if __name__ == "__main__":
main()