Graphs and tables for your Spotify account.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

86 lines
2.7 KiB

# imports {{{ #
import math
import random
import requests
import os
import urllib
import secrets
import pprint
import string
from datetime import datetime
from django.http import JsonResponse
from django.db.models import Count, Q
from .utils import parse_library, get_artists_in_genre, update_track_genres
from .models import User, Track, AudioFeatures, Artist
# }}} imports #
TRACKS_TO_QUERY = 200
# get_artist_data {{{ #
def get_artist_data(request, user_secret):
"""Returns artist data as a JSON serialized list of dictionaries
The (key, value) pairs are (artist name, song count for said artist)
:param request: the HTTP request
:param user_secret: the user secret used for identification
:return: a JsonResponse
"""
user = User.objects.get(user_secret=user_secret)
artist_counts = Artist.objects.annotate(num_songs=Count('track',
filter=Q(track__users=user)))
processed_artist_counts = [{'name': artist.name,
'num_songs': artist.num_songs} for artist in artist_counts]
return JsonResponse(data=processed_artist_counts, safe=False)
# }}} get_artist_data #
# get_audio_feature_data {{{ #
def get_audio_feature_data(request, audio_feature, user_secret):
"""Returns all data points for a given audio feature
Args:
request: the HTTP request
audio_feature: The audio feature to be queried
user_secret: client secret, used to identify the user
"""
user = User.objects.get(user_secret=user_secret)
user_tracks = Track.objects.filter(users=user)
response_payload = {
'data_points': [],
}
for track in user_tracks:
try:
audio_feature_obj = AudioFeatures.objects.get(track=track)
response_payload['data_points'].append(getattr(audio_feature_obj, audio_feature))
except AudioFeatures.DoesNotExist:
continue
return JsonResponse(response_payload)
# }}} get_audio_feature_data #
# get_genre_data {{{ #
def get_genre_data(request, user_secret):
"""Return genre data needed to create the graph user.
TODO
"""
user = User.objects.get(user_secret=user_secret)
genre_counts = (Track.objects.filter(users__exact=user)
.values('genre')
.order_by('genre')
.annotate(num_songs=Count('genre'))
)
for genre_dict in genre_counts:
genre_dict['artists'] = get_artists_in_genre(user, genre_dict['genre'],
genre_dict['num_songs'])
print("*** Genre Breakdown ***")
pprint.pprint(list(genre_counts))
return JsonResponse(data=list(genre_counts), safe=False)
# }}} get_genre_data #