def test_get_top_artists(self):
mapped_listens = utils.read_files_from_HDFS(self.mapped_listens_path)
top_artist_limit = 1
test_top_artist = candidate_sets.get_top_artists(
mapped_listens, top_artist_limit, [])
cols = [
'top_artist_credit_id', 'top_artist_name', 'user_name',
'total_count'
]
self.assertListEqual(cols, test_top_artist.columns)
self.assertEqual(test_top_artist.count(), 2)
top_artist_id = sorted(
[row.top_artist_credit_id for row in test_top_artist.collect()])
self.assertEqual(top_artist_id[0], 2)
self.assertEqual(top_artist_id[1], 2)
# empty df
mapped_listens = mapped_listens.select('*').where(
f.col('user_name') == 'lala')
with self.assertRaises(TopArtistNotFetchedException):
candidate_sets.get_top_artists(mapped_listens, top_artist_limit,
[])
with self.assertRaises(TopArtistNotFetchedException):
candidate_sets.get_top_artists(mapped_listens, top_artist_limit,
['lala'])
def test_filter_last_x_days_recordings(self):
mapped_listens_df = utils.read_files_from_HDFS(
self.mapped_listens_path)
mapped_listens_subset = utils.read_files_from_HDFS(
self.mapped_listens_subset_path)
recordings_df = create_dataframes.get_recordings_df(
mapped_listens_df, {})
users = create_dataframes.get_users_dataframe(mapped_listens_df, {})
mapped_listens_subset = utils.read_files_from_HDFS(
self.mapped_listens_subset_path)
top_artist_limit = 1
top_artist_df = candidate_sets.get_top_artists(mapped_listens_subset,
top_artist_limit, [])
_, candidate_set_df = candidate_sets.get_top_artist_candidate_set(
top_artist_df, recordings_df, users, mapped_listens_subset)
df = candidate_sets.filter_last_x_days_recordings(
candidate_set_df, mapped_listens_subset)
user_name = [row.user_name for row in df.collect()]
self.assertEqual(sorted(user_name), ['rob', 'rob', 'vansika_1'])
received_recording_mbid = sorted(
[row.mb_recording_mbid for row in df.collect()])
expected_recording_mbid = sorted([
"sf5a56f4-1f83-4681-b319-70a734d0d047",
"af5a56f4-1f83-4681-b319-70a734d0d047",
"sf5a56f4-1f83-4681-b319-70a734d0d047"
])
self.assertEqual(expected_recording_mbid, received_recording_mbid)
def test_get_top_artist_candidate_set(self):
mapped_listens_df = utils.read_files_from_HDFS(
self.mapped_listens_path)
recordings_df = create_dataframes.get_recordings_df(
mapped_listens_df, {})
users = create_dataframes.get_users_dataframe(mapped_listens_df, {})
mapped_listens_subset = utils.read_files_from_HDFS(
self.mapped_listens_subset_path)
top_artist_limit = 1
top_artist_df = candidate_sets.get_top_artists(mapped_listens_subset,
top_artist_limit, [])
top_artist_candidate_set_df, top_artist_candidate_set_df_html = candidate_sets.get_top_artist_candidate_set(
top_artist_df, recordings_df, users, mapped_listens_subset)
cols = ['recording_id', 'user_id', 'user_name']
self.assertListEqual(sorted(cols),
sorted(top_artist_candidate_set_df.columns))
self.assertEqual(top_artist_candidate_set_df.count(), 3)
cols = [
'top_artist_credit_id', 'top_artist_name', 'mb_artist_credit_id',
'mb_artist_credit_mbids', 'mb_recording_mbid',
'msb_artist_credit_name_matchable', 'msb_recording_name_matchable',
'recording_id', 'user_name', 'user_id'
]
self.assertListEqual(sorted(cols),
sorted(top_artist_candidate_set_df_html.columns))
self.assertEqual(top_artist_candidate_set_df_html.count(), 3)
def test_get_top_artists(self):
mapped_df = self.get_mapped_listens()
test_top_artist_df = candidate_sets.get_top_artists(mapped_df, 'vansika')
self.assertListEqual(['mb_artist_credit_id', 'artist_name', 'count'], test_top_artist_df.columns)
self.assertEqual(test_top_artist_df.count(), 1)
row = test_top_artist_df.collect()[0]
self.assertEqual(row.mb_artist_credit_id, 1)