def find_song(self, name, alt_titles=None, artists=None, collaborators=None, album=None, genres=None):
ngrmas = extract_unique_normalized_ngrmas(name)
candidate_songs = self._get_songs_with_best_idf(ngrmas, self._match_config.top_k_blocking_function())
candidate_songs = self._get_most_similar_songs(original_str=name,
candidate_songs=candidate_songs,
top_k_results=self._match_config.top_k_results())
return candidate_songs
def find_song(self, name, alt_titles=None, artists=None, collaborators=None, album=None, genres=None):
ngrmas = extract_unique_normalized_ngrmas(name)
candidate_songs = self._get_songs_with_best_idf(ngrmas, self._match_config.top_k_blocking_function())
candidate_songs = self._get_most_similar_songs(original_str=name,
candidate_songs=candidate_songs,
top_k_results=self._match_config.top_k_results())
if artists is not None:
for an_artist in artists:
candidate_songs = self._refine_songs_by_artist_name(candidate_songs, an_artist)
candidate_songs = self._discard_results_with_low_total_score(candidate_songs, ORDER_FIND_SONG)
candidate_songs.sort(reverse=True)
return candidate_songs[:self._match_config.top_k_results()]
def find_artist(self, name, country=None, songs=None, albums=None, namevars=None, genres=None):
"""
Name should be provided and should be an string.
Country is optional and is expected to be a string.
The rest of the params could be an string or a list of strings,
and they are optional.
The method returns...
:param name:
:param songs:
:param albums:
:param namevars:
:param genres:
:return:
"""
# TODO: right now, just working with name
ngrmas = extract_unique_normalized_ngrmas(name) # Done
candidate_artists = self._get_artist_with_best_idf(ngrmas, self._match_config.top_k_blocking_function()) # Done
candidate_artists = self._get_most_similar_artist(original_str=name,
candidate_artist=candidate_artists,
top_k_results=self._match_config.top_k_results()) # Done
return candidate_artists # TODO : just adapt to other possible and probable formats.
def update_ngrams_of_entity(repo, entity_uri, str_text):
tuples = []
for ngram in extract_unique_normalized_ngrmas(str_text):
tuples.append((ngram, 1))
repo.update_ngrams_of_entity(entity=entity_uri,
list_of_tuples_ngram_apparitions=tuples)
