Graphs and tables for your Spotify account.
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# 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 #
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