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import argparse
import sys
from typing import Any, Dict, List
from tabulate import tabulate
from fnme.constants import SORT_KV
from fnme.data import get_latest_data
from fnme.geo import get_location
from fnme.station import process_stations, sort_stations
_PRICE_COLS = {
"e5_price": "E5 (£/L)",
"e10_price": "E10 (£/L)",
"diesel_price": "B7S (£/L)",
}
_HEADERS = {"station_name": "Station Name", "distance": "Distance (mi)", **_PRICE_COLS}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("-a", "--address", type=str, required=True)
parser.add_argument("-r", "--radius", type=int, default=5)
parser.add_argument("-s", "--sort", type=str, default="e10", choices=SORT_KV.keys())
return parser.parse_args()
def _fmt_price(v: float | None) -> str:
return f"{v:.2f}" if v is not None else "N/A"
def output_stations(stations: List[Dict[str, Any]]) -> None:
if not stations:
print("[*] No stations found.")
return
rows = [{**s, **{col: _fmt_price(s[col]) for col in _PRICE_COLS}} for s in stations]
print(tabulate(rows, headers=_HEADERS, floatfmt="1.f"))
def main():
args = parse_args()
try:
location = get_location(args.address)
except ValueError as e:
print(f"[*] {e}")
sys.exit(1)
df, last_modified = get_latest_data()
print(f"Last updated: {last_modified}")
df_filtered = process_stations(df, args.radius, location)
sorted_stations_list = sort_stations(df_filtered, args.sort)
output_stations(sorted_stations_list)
if __name__ == "__main__":
main()
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