|
|
@ -27,12 +27,13 @@ def parse_library(headers, tracks, library_stats): |
|
|
|
for track_dict in saved_tracks_response['items']: |
|
|
|
# Track the number of samples for calculating |
|
|
|
# audio feature averages and standard deviations on the fly |
|
|
|
num_samples += 1 |
|
|
|
get_track_info(track_dict['track'], library_stats, num_samples) |
|
|
|
# get_genre(headers, track_dict['track']['album']['id']) |
|
|
|
audio_features_dict = get_audio_features(headers, track_dict['track']['id']) |
|
|
|
for feature, feature_data in audio_features_dict.items(): |
|
|
|
update_audio_feature_stats(feature, feature_data, num_samples, library_stats) |
|
|
|
if len(audio_features_dict) != 0: |
|
|
|
num_samples += 1 |
|
|
|
for feature, feature_data in audio_features_dict.items(): |
|
|
|
update_audio_feature_stats(feature, feature_data, num_samples, library_stats) |
|
|
|
for artist_dict in track_dict['track']['artists']: |
|
|
|
increase_artist_count(headers, artist_dict['name'], artist_dict['id'], library_stats) |
|
|
|
# calculates num_songs with offset + songs retrieved |
|
|
@ -51,10 +52,13 @@ def get_audio_features(headers, track_id): |
|
|
|
track_id: the id of the soundtrack, needed to query the Spotify API |
|
|
|
|
|
|
|
Returns: |
|
|
|
A dictionary with the features as its keys |
|
|
|
A dictionary with the features as its keys, if audio feature data is missing for the track, |
|
|
|
an empty dictionary is returned. |
|
|
|
""" |
|
|
|
|
|
|
|
response = requests.get("https://api.spotify.com/v1/audio-features/{}".format(track_id), headers = headers).json() |
|
|
|
if 'error' in response: |
|
|
|
return {} |
|
|
|
features_dict = {} |
|
|
|
|
|
|
|
# Data that we don't need |
|
|
|