# coding: utf-8 """ Filtering functions to detect and merge duplicates. """ from __future__ import absolute_import, print_function, unicode_literals import collections import logging from flatisfy import tools LOGGER = logging.getLogger(__name__) # Some backends give more infos than others. Here is the precedence we want to # use. BACKENDS_PRECEDENCE = [ "seloger", "pap", "leboncoin", "explorimmo", "logicimmo", "entreparticuliers" ] def detect(flats_list, key="id", merge=True): """ Detect obvious duplicates within a given list of flats. There may be duplicates found, as some queries could overlap (especially since when asking for a given place, websites tend to return housings in nearby locations as well). We need to handle them, by either deleting the duplicates (``merge=False``) or merging them together in a single flat object. :param flats_list: A list of flats dicts. :param key: The flat dicts key on which the duplicate detection should be done. :param merge: Whether the found duplicates should be merged or we should only keep one of them. :return: A deduplicated list of flat dicts. """ # ``seen`` is a dict mapping aggregating the flats by the deduplication # keys. We basically make buckets of flats for every key value. Flats in # the same bucket should be merged together afterwards. seen = collections.defaultdict(list) for flat in flats_list: seen[flat.get(key, None)].append(flat) # Generate the unique flats list based on these buckets unique_flats_list = [] for flat_key, matching_flats in seen.items(): if flat_key is None: # If the key is None, it means Weboob could not load the data. In # this case, we consider every matching item as being independant # of the others, to avoid over-deduplication. unique_flats_list.extend(matching_flats) else: # Sort matching flats by backend precedence matching_flats.sort( key=lambda flat: next( i for (i, backend) in enumerate(BACKENDS_PRECEDENCE) if flat["id"].endswith(backend) ), reverse=True ) if len(matching_flats) > 1: LOGGER.info("Found duplicates: %s.", [flat["id"] for flat in matching_flats]) # Otherwise, check the policy if merge: # If a merge is requested, do the merge unique_flats_list.append( tools.merge_dicts(*matching_flats) ) else: # Otherwise, just keep any of them unique_flats_list.append(matching_flats[0]) return unique_flats_list