class ScoringWorker(ConsumerThread):
def __init__(self, worker_id, task_queue, completed_queue):
ConsumerThread.__init__(self, worker_id, task_queue, completed_queue)
self._library = AlgorithmLibrary([DummyAlgorithm(), KeywordAlgorithm()])
def consume(self, user_id):
user = User.get(id=user_id)
self._logger.info('Consuming user %s.', user.id)
articles = list(user.all_articles())
self._logger.info('Article count: %d', len(articles))
if len(articles) <= 0:
return
try:
model = user.preference_model()
# algorithm = self._library.get(model.algorithm_version)
algorithm = self._library.get(model.algorithm_version)
if algorithm:
algorithm.load_params(model.parameters)
except UserPreferenceModel.DoesNotExist:
algorithm = None
if algorithm:
scores = algorithm.score(articles)
else:
scores = itertools.repeat(0, len(articles))
self._logger.info('Scores: %s.', scores)
for article, score in zip(articles, scores):
user.score_article(article, score)
def __init__(self, worker_id, task_queue, completed_queue):
ConsumerThread.__init__(self, worker_id, task_queue, completed_queue)
self._library = AlgorithmLibrary([DummyAlgorithm(), KeywordAlgorithm()])