from data_access import Listing
from tqdm import tqdm
from geopy.distance import geodesic
import logging


def calculate_route(listing_paths: list[str]):
    log = logging.getLogger(__name__)
    log.setLevel(logging.INFO)

    listings = Listing.get_all_listings(listing_paths)
    BROCK_STREET_LAT_LONG = 51.52570434674584, -0.13956495005056113

    # reduce listings to everything within 7 miles
    filtered_listings = []
    for listing in listings:
        miles = geodesic(BROCK_STREET_LAT_LONG,
                         (listing.latitude, listing.longitude)).miles
        if listing.isRemoved:
            log.info(f"Removed-Skip: Skipping {listing.identifier} "
                     "is already removed.")
            continue
        if miles > 7:
            log.info(f"Miles-Skip: Skipping {listing.identifier} as it is "
                     f"{miles} miles away")
            continue
        if listing.path_routing_json().exists():
            log.info(
                (f"Path-Skip: Skipping {listing.identifier} as path routing "
                 "already exists"))
            continue
        if (listing.sqm_ocr is None or listing.sqm_ocr < 30
                or listing.sqm_ocr > 200):
            log.info((f"Floorplan-Skip: Skipping {listing.identifier} as "
                      f"sqm_ocr is {listing.sqm_ocr}"))
            continue
        filtered_listings.append(listing)

    print(
        f"Filtered listings from {len(listings)} to {len(filtered_listings)}")

    for listing in tqdm(filtered_listings):
        lat, long = BROCK_STREET_LAT_LONG
        listing.calculate_route(lat, long, recalculate=False)
        traveltime = listing.travel_time[0]
        duration_minutes = traveltime["duration"] / 60.0

        tqdm.write(f"{listing.identifier} {duration_minutes}")