def fast_score(self, target_place: Loc, result_place: Loc) -> float:
# Get a rough, fast score for similarity between target and result. O is best. 100 is worst
result_title = result_place.get_five_part_title()
target_title = target_place.get_five_part_title()
#self.logger.debug(f'F Score Result [{result_title}] targ [{target_title}] ')
sc = 100 - fuzz.token_sort_ratio(result_title, target_title)
#self.logger.debug(f'F Score={sc:.2f} Result [{result_title}] targ [{target_title}] ')
return sc
def full_normalized_title(self, place: Loc) -> str:
# Create a full normalized five part title (includes prefix)
# Clean up prefix - remove any words that are in city, admin1 or admin2 from Prefix
# place.prefix = Loc.Loc.matchscore_prefix(place.prefix, place.get_long_name(None))
title = place.get_five_part_title()
title = self.norm.normalize_for_scoring(title)
return title
