def load(self):
try:
tag_recommendation_data = loadFromJson(
RECOMMENDATION_DATA_DIR +
'Current_database_and_class_names.json')
DATABASE = tag_recommendation_data['database']
CLASSES = tag_recommendation_data['classes']
self.cbtr = CommunityBasedTagRecommender(dataset=DATABASE,
classes=CLASSES)
self.cbtr.load_recommenders()
except:
self.cbtr = None
logger.info(
"No computed matrices were found, recommendation system not loading for the moment (but service listening for data to come)."
)
try:
self.index_stats = loadFromJson(RECOMMENDATION_DATA_DIR +
'Current_index_stats.json')
logger.info("Matrices computed out of information from %i sounds" %
self.index_stats['n_sounds_in_matrix'])
except Exception, e:
print e
self.index_stats = {
'n_sounds_in_matrix': 0,
}
def load(self):
try:
tag_recommendation_data = loadFromJson(RECOMMENDATION_DATA_DIR + 'Current_database_and_class_names.json')
DATABASE = tag_recommendation_data['database']
CLASSES = tag_recommendation_data['classes']
self.cbtr = CommunityBasedTagRecommender(dataset=DATABASE, classes=CLASSES)
self.cbtr.load_recommenders()
except:
self.cbtr = None
logger.info("No computed matrices were found, recommendation system not loading for the moment (but service listening for data to come).")
try:
self.index_stats = loadFromJson(RECOMMENDATION_DATA_DIR + 'Current_index_stats.json')
logger.info("Matrices computed out of information from %i sounds" % self.index_stats['n_sounds_in_matrix'])
except Exception as e:
print(e)
self.index_stats = {
'n_sounds_in_matrix': 0,
}
try:
self.index = loadFromJson(RECOMMENDATION_DATA_DIR + 'Index.json')
self.index_stats['biggest_id_in_index'] = max([int(key) for key in self.index.keys()])
self.index_stats['n_sounds_in_index'] = len(self.index.keys())
except Exception as e:
logger.info("Index file not present. Listening for indexing data from appservers.")
self.index_stats['biggest_id_in_index'] = 0
self.index_stats['n_sounds_in_index'] = 0
self.index = dict()
