from data_access import Listing
from tqdm import tqdm
from geopy.distance import geodesic
from logger import createLogger

log = createLogger(__name__)

listings = Listing.get_all_listings()
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 {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 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}")