Graphs and tables for your Spotify account.
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# imports {{{ #
import requests
import math
import pprint
from .models import *
from django.db.models import Count, Q, F
from django.http import JsonResponse
from django.core import serializers
import json
# }}} imports #
# global vars {{{ #
USER_TRACKS_LIMIT = 50
ARTIST_LIMIT = 50
FEATURES_LIMIT = 100
# ARTIST_LIMIT = 25
# FEATURES_LIMIT = 25
console_logging = True
# console_logging = False
artists_genre_processed = 0
features_processed = 0
# }}} global vars #
# parse_library {{{ #
def parse_library(headers, num_tracks, user):
"""Scans user's library for num_tracks and store the information in a database
:headers: For API call.
:num_tracks: Number of tracks to get from user's library (0 scans the entire
library).
:user: a User object representing the user whose library we are parsing
:returns: None
"""
offset = 0
payload = {'limit': str(USER_TRACKS_LIMIT)}
artist_genre_queue = []
features_queue = []
# create this obj so loop runs at least once
saved_tracks_response = [0]
# scan until reach num_tracks or no tracks left if scanning entire library
while (num_tracks == 0 or offset < num_tracks) and len(saved_tracks_response) > 0:
payload['offset'] = str(offset)
saved_tracks_response = requests.get('https://api.spotify.com/v1/me/tracks',
headers=headers,
params=payload).json()['items']
if console_logging:
tracks_processed = 0
for track_dict in saved_tracks_response:
# add artists {{{ #
# update artist info before track so that Track object can reference
# Artist object
track_artists = []
for artist_dict in track_dict['track']['artists']:
artist_obj, artist_created = Artist.objects.get_or_create(
artist_id=artist_dict['id'],
name=artist_dict['name'],)
# only add/tally up artist genres if new
if artist_created:
artist_genre_queue.append(artist_obj)
if len(artist_genre_queue) == ARTIST_LIMIT:
add_artist_genres(headers, artist_genre_queue)
artist_genre_queue = []
track_artists.append(artist_obj)
# }}} add artists #
track_obj, track_created = save_track_obj(track_dict['track'],
track_artists, user)
# add audio features {{{ #
# if a new track is not created, the associated audio feature does
# not need to be created again
if track_created:
features_queue.append(track_obj)
if len(features_queue) == FEATURES_LIMIT:
get_audio_features(headers, features_queue)
features_queue = []
# }}} add audio features #
if console_logging:
tracks_processed += 1
print("Added track #{}: {} - {}".format(
offset + tracks_processed,
track_obj.artists.first(),
track_obj.name,
))
# calculates num_songs with offset + songs retrieved
offset += USER_TRACKS_LIMIT
# clean-up {{{ #
# update remaining artists without genres and songs without features if
# there are any
if len(artist_genre_queue) > 0:
add_artist_genres(headers, artist_genre_queue)
if len(features_queue) > 0:
get_audio_features(headers, features_queue)
# }}} clean-up #
update_track_genres(user)
# }}} parse_library #
# update_track_genres {{{ #
def update_track_genres(user):
"""Updates user's tracks with the most common genre associated with the
songs' artist(s).
:user: User object who's tracks are being updated.
:returns: None
"""
tracks_processed = 0
user_tracks = Track.objects.filter(users__exact=user)
for track in user_tracks:
# just using this variable to save another call to db
track_artists = track.artists.all()
# set genres to first artist's genres then find intersection with others
shared_genres = track_artists.first().genres.all()
for artist in track_artists:
shared_genres = shared_genres.intersection(artist.genres.all())
shared_genres = shared_genres.order_by('-num_songs')
undefined_genre_obj = Genre.objects.get(name="undefined")
most_common_genre = shared_genres.first() if shared_genres.first() is \
not undefined_genre_obj else shared_genres[1]
track.genre = most_common_genre if most_common_genre is not None \
else undefined_genre_obj
track.save()
tracks_processed += 1
if console_logging:
print("Added '{}' as genre for song #{} - '{}'".format(
track.genre,
tracks_processed,
track.name,
))
# }}} update_track_genres #
# save_track_obj {{{ #
def save_track_obj(track_dict, artists, user):
"""Make an entry in the database for this track if it doesn't exist already.
:track_dict: dictionary from the API call containing track information.
:artists: artists of the song, passed in as a list of Artist objects.
:top_genre: top genre associated with this track (see get_top_genre).
:user: User object for which this Track is to be associated with.
:returns: (The created/retrieved Track object, created)
"""
track_query = Track.objects.filter(track_id__exact=track_dict['id'])
if len(track_query) != 0:
return track_query[0], False
else:
new_track = Track.objects.create(
track_id=track_dict['id'],
year=track_dict['album']['release_date'].split('-')[0],
popularity=int(track_dict['popularity']),
runtime=int(float(track_dict['duration_ms']) / 1000),
name=track_dict['name'],
)
# have to add artists and user after saving object since track needs to
# have ID before filling in m2m field
for artist in artists:
new_track.artists.add(artist)
new_track.users.add(user)
new_track.save()
return new_track, True
# }}} save_track_obj #
# get_audio_features {{{ #
def get_audio_features(headers, track_objs):
"""Creates and saves a new AudioFeatures objects for the respective
track_objs. track_objs should contain the API limit for a single call
(FEATURES_LIMIT) for maximum efficiency.
:headers: headers containing the API token
:track_objs: Track objects to associate with the new AudioFeatures object
:returns: None
"""
track_ids = str.join(",", [track_obj.track_id for track_obj in track_objs])
features_response = requests.get("https://api.spotify.com/v1/audio-features",
headers=headers,
params={'ids': track_ids}
).json()['audio_features']
# pprint.pprint(features_response)
useless_keys = [ "key", "mode", "type", "liveness", "id", "uri", "track_href", "analysis_url", "time_signature", ]
for i in range(len(track_objs)):
if features_response[i] is not None:
# Data that we don't need
cur_features_obj = AudioFeatures()
cur_features_obj.track = track_objs[i]
for key, val in features_response[i].items():
if key not in useless_keys:
setattr(cur_features_obj, key, val)
cur_features_obj.save()
if console_logging:
global features_processed
features_processed += 1
print("Added features for song #{} - {}".format(
features_processed, track_objs[i].name))
# }}} get_audio_features #
# process_artist_genre {{{ #
def process_artist_genre(genre_name, artist_obj):
"""Increase count for correspoding Genre object to genre_name and add that
Genre to artist_obj.
:genre_name: Name of genre.
:artist_obj: Artist object to add Genre object to.
:returns: None
"""
genre_obj, created = Genre.objects.get_or_create(name=genre_name,
defaults={'num_songs':1})
if not created:
genre_obj.num_songs = F('num_songs') + 1
genre_obj.save()
artist_obj.genres.add(genre_obj)
artist_obj.save()
# }}} process_artist_genre #
# add_artist_genres {{{ #
def add_artist_genres(headers, artist_objs):
"""Adds genres to artist_objs and increases the count the respective Genre
object. artist_objs should contain the API limit for a single call
(ARTIST_LIMIT) for maximum efficiency.
:headers: For making the API call.
:artist_objs: List of Artist objects for which to add/tally up genres for.
:returns: None
"""
artist_ids = str.join(",", [artist_obj.artist_id for artist_obj in artist_objs])
artists_response = requests.get('https://api.spotify.com/v1/artists/',
headers=headers,
params={'ids': artist_ids},
).json()['artists']
for i in range(len(artist_objs)):
if len(artists_response[i]['genres']) == 0:
process_artist_genre("undefined", artist_objs[i])
else:
for genre in artists_response[i]['genres']:
process_artist_genre(genre, artist_objs[i])
if console_logging:
global artists_genre_processed
artists_genre_processed += 1
print("Added genres for artist #{} - {}".format(
artists_genre_processed, artist_objs[i].name))
# }}} add_artist_genres #
# get_artists_in_genre {{{ #
def get_artists_in_genre(user, genre, max_songs):
"""Return count of artists in genre.
:user: User object to return data for.
:genre: genre to count artists for.
:max_songs: max total songs to include to prevent overflow due to having
multiple artists on each track.
:returns: dict of artists in the genre along with the number of songs they
have.
"""
genre_obj = Genre.objects.get(name=genre)
artist_counts = (Artist.objects.filter(track__users=user)
.filter(genres=genre_obj)
.annotate(num_songs=Count('track', distinct=True))
.order_by('-num_songs')
)
processed_artist_counts = {}
songs_added = 0
for artist in artist_counts:
# hacky way to not have total count overflow due to there being multiple
# artists on a track
if songs_added + artist.num_songs <= max_songs:
processed_artist_counts[artist.name] = artist.num_songs
songs_added += artist.num_songs
# processed_artist_counts = [{'name': artist.name, 'num_songs': artist.num_songs} for artist in artist_counts]
# processed_artist_counts = {artist.name: artist.num_songs for artist in artist_counts}
# pprint.pprint(processed_artist_counts)
return processed_artist_counts
# }}} get_artists_in_genre #