def test_save_and_load(self):
aggr = SongAggregateScraper()
aggr.scrape_from_echonest(BASEDIR,
MIN_NUM_COMMENTS,
MAX_NUM_COMMENTS,
FILTER_LIST,
limit=LIMIT)
good_songs = aggr.get_passing_songs()
aggr.save_to_file('test_file')
# self.assertTrue(aggr.max_num_comments == MAX_NUM_COMMENTS, "aggregator metadata")
# self.assertTrue(aggr.aggregate[3] == 2, "aggregate statistics")
# self.assertTrue(len(good_songs) == 1, "scraper passing songs")
# self.assertEqual(good_songs[0].comments[0], "Who still listening in 2018?", "passing songs comments")
aggr2 = SongAggregateScraper()
self.assertTrue(aggr2.max_num_comments is None, "aggr2 is empty")
aggr2.load_from_file('test_file')
recover_good_songs = aggr2.get_passing_songs()
self.assertEqual(aggr.max_num_comments, aggr2.max_num_comments,
"metadata preserved")
self.assertEqual(aggr.aggregate[3], aggr2.aggregate[3],
"aggregate statistics preserved")
self.assertEqual(len(good_songs[0].comments),
len(recover_good_songs[0].comments),
"passing songs preserved")
self.assertEqual(good_songs[0].comments[0],
recover_good_songs[0].comments[0],
"passing songs comments preserved")
def scrape():
video_ids = random_songs(NUM_SONGS)
aggr = SongAggregateScraper()
aggr.scrape_video_ids(video_ids, MIN_NUM_COMMENTS, MAX_NUM_COMMENTS,
FILTER_LIST)
aggr.print_summary()
aggr.save_to_file(SAVEFILE)