import argparse 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 # Add argparse parser = argparse.ArgumentParser() parser.add_argument( "-c", "--country", help="Specify the country code", type=str, default="US" ) parser.add_argument( "-w", "--workers", help="Specify the number of workers", type=int, default=1 ) parser.add_argument( "-o", "--output-file", help="Specify the name of the output file (file.csv)", type=str, default="city_distances_full.csv", ) args = parser.parse_args() gc = geonamescache.GeonamesCache() cities = gc.get_cities() us_cities = { k: c for k, c in cities.items() if (c.get("countrycode") == args.country) # & (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) search_results = [ d for d in search_results if (d.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) 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)) chunk_size = 800 # adjust this as needed num_chunks = len(city_combinations) // chunk_size + 1 output_file = args.output_file with open(output_file, "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=args.workers) for i in range(num_chunks): chunk = city_combinations[(i * chunk_size) : (i + 1) * chunk_size] futures = { executor.submit(calculate_distance, pair): pair for pair in chunk } 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, } ) csvfile.flush() # write to disk immediately except KeyboardInterrupt: print("Interrupted. Terminating processes...") executor.shutdown(wait=False) raise SystemExit("Execution terminated by user.") if __name__ == "__main__": main()