def get_user_name_and_user_id(params: RecommendationParams, users):
""" Get users from top artist candidate set.
Args:
params: RecommendationParams class object.
users = list of users names to generate recommendations.
Returns:
users_df: dataframe of user id and user names.
"""
if len(users) == 0:
users_df = params.top_artist_candidate_set_df.select('user_id', 'user_name').distinct()
else:
users_df = params.top_artist_candidate_set_df.select('user_id', 'user_name') \
.where(params.top_artist_candidate_set_df.user_name.isin(users)) \
.distinct()
if _is_empty_dataframe(users_df):
raise EmptyDataframeExcpetion('No active users found!')
return users_df
def get_candidate_set_rdd_for_user(candidate_set_df, users):
""" Get candidate set RDD for a given user.
Args:
candidate_set_df: A dataframe of user_id and recording_id for all users.
users: list of user names to generate recommendations for.
Returns:
candidate_set_rdd: An RDD of user_id and recording_id for a given user.
"""
if users:
candidate_set_user_df = candidate_set_df.select('user_id', 'recording_id') \
.where(col('user_name').isin(users))
else:
candidate_set_user_df = candidate_set_df.select('user_id', 'recording_id')
if _is_empty_dataframe(candidate_set_user_df):
raise EmptyDataframeExcpetion('Empty Candidate sets!')
candidate_set_rdd = candidate_set_user_df.rdd.map(lambda r: (r['user_id'], r['recording_id']))
return candidate_set_rdd