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Setup Artist table

Removed printing of library_stats.
master
Kevin Mok 6 years ago
parent
commit
549af96db7
  1. 5
      .gitignore
  2. 18
      spotifyvis/utils.py
  3. 6
      spotifyvis/views.py

5
.gitignore

@ -6,6 +6,5 @@ db.sqlite3
api-keys.sh
Pipfile
super-pass.txt
*.js
*.ini
*.txt
graph.js

18
spotifyvis/utils.py

@ -51,7 +51,7 @@ def parse_library(headers, tracks, library_stats, user):
library_stats['num_songs'] = offset + len(saved_tracks_response['items'])
offset += limit
calculate_genres_from_artists(headers, library_stats)
pprint.pprint(library_stats)
# pprint.pprint(library_stats)
# }}} parse_library #
@ -185,6 +185,14 @@ def increase_artist_count(headers, artist_name, artist_id, library_stats):
else:
library_stats['artists'][artist_name]['count'] += 1
# add artist to database if new
if len(Artist.objects.filter(artist_id__contains=artist_id)) == 0:
new_artist = Artist(
artist_id=artist_id,
name=artist_name,
)
new_artist.save()
# }}} increase_artist_count #
# update_popularity_stats {{{ #
@ -236,11 +244,6 @@ def get_track_info(track_dict, library_stats, sample_size):
year_released = track_dict['album']['release_date'].split('-')[0]
increase_nested_key('year_released', year_released, library_stats)
# artist
# artist_names = [artist['name'] for artist in track_dict['artists']]
# for artist_name in artist_names:
# increase_nested_key('artists', artist_name)
# runtime
library_stats['total_runtime'] += float(track_dict['duration_ms']) / (1000 * 60)
@ -263,6 +266,9 @@ def calculate_genres_from_artists(headers, library_stats):
for genre in artist_response['genres']:
increase_nested_key('genres', genre, library_stats, artist_entry['count'])
# update genre for artist in database with top genre
Artist.objects.filter(artist_id=artist_entry['id']).update(genre=artist_response['genres'][0])
# }}} calculate_genres_from_artists #
# process_library_stats {{{ #

6
spotifyvis/views.py

@ -164,9 +164,9 @@ def user_data(request):
}
parse_library(headers, TRACKS_TO_QUERY, library_stats, user)
processed_library_stats = process_library_stats(library_stats)
print("================================================")
print("Processed data follows\n")
pprint.pprint(processed_library_stats)
# print("================================================")
# print("Processed data follows\n")
# pprint.pprint(processed_library_stats)
return render(request, 'spotifyvis/user_data.html', context)
# }}} user_data #
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