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.
338 lines
11 KiB
338 lines
11 KiB
from django.shortcuts import render, redirect
|
|
from django.http import HttpResponse, HttpResponseBadRequest
|
|
import math
|
|
import random
|
|
import requests
|
|
import os
|
|
import urllib
|
|
import json
|
|
import pprint
|
|
from datetime import datetime
|
|
|
|
TIME_FORMAT = '%Y-%m-%d-%H-%M-%S'
|
|
library_stats = {"audio_features":{}, "genres":{}, "year_released":{}, "artists":{}, "num_songs":0, "popularity":[], "total_runtime":0}
|
|
|
|
# generate_random_string {{{ #
|
|
|
|
def generate_random_string(length):
|
|
"""Generates a random string of a certain length
|
|
|
|
Args:
|
|
length: the desired length of the randomized string
|
|
|
|
Returns:
|
|
A random string
|
|
"""
|
|
rand_str = ""
|
|
possible_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
|
|
|
|
for _ in range(length):
|
|
rand_str += possible_chars[random.randint(0, len(possible_chars) - 1)]
|
|
|
|
return rand_str
|
|
|
|
# }}} generate_random_string #
|
|
|
|
# token_expired {{{ #
|
|
|
|
def token_expired(token_obtained_at, valid_for):
|
|
"""Returns True if token expired, False if otherwise
|
|
|
|
Args:
|
|
token_obtained_at: datetime object representing the date and time when the token was obtained
|
|
valid_for: the time duration for which the token is valid, in seconds
|
|
"""
|
|
time_elapsed = (datetime.today() - token_obtained_at).total_seconds()
|
|
return time_elapsed >= valid_for
|
|
|
|
# }}} token_expired #
|
|
|
|
# index {{{ #
|
|
|
|
# Create your views here.
|
|
def index(request):
|
|
return render(request, 'spotifyvis/index.html')
|
|
|
|
# }}} index #
|
|
|
|
# login {{{ #
|
|
|
|
def login(request):
|
|
|
|
# use a randomly generated state string to prevent cross-site request forgery attacks
|
|
state_str = generate_random_string(16)
|
|
request.session['state_string'] = state_str
|
|
|
|
payload = {
|
|
'client_id': os.environ['SPOTIFY_CLIENT_ID'],
|
|
'response_type': 'code',
|
|
'redirect_uri': 'http://localhost:8000/callback',
|
|
'state': state_str,
|
|
'scope': 'user-library-read',
|
|
'show_dialog': False
|
|
}
|
|
|
|
params = urllib.parse.urlencode(payload) # turn the payload dict into a query string
|
|
authorize_url = "https://accounts.spotify.com/authorize/?{}".format(params)
|
|
return redirect(authorize_url)
|
|
|
|
# }}} login #
|
|
|
|
# callback {{{ #
|
|
|
|
def callback(request):
|
|
# Attempt to retrieve the authorization code from the query string
|
|
try:
|
|
code = request.GET['code']
|
|
except KeyError:
|
|
return HttpResponseBadRequest("<h1>Problem with login</h1>")
|
|
|
|
payload = {
|
|
'grant_type': 'authorization_code',
|
|
'code': code,
|
|
'redirect_uri': 'http://localhost:8000/callback',
|
|
'client_id': os.environ['SPOTIFY_CLIENT_ID'],
|
|
'client_secret': os.environ['SPOTIFY_CLIENT_SECRET'],
|
|
}
|
|
|
|
response = requests.post('https://accounts.spotify.com/api/token', data = payload).json()
|
|
# despite its name, datetime.today() returns a datetime object, not a date object
|
|
# use datetime.strptime() to get a datetime object from a string
|
|
request.session['token_obtained_at'] = datetime.strftime(datetime.today(), TIME_FORMAT)
|
|
request.session['access_token'] = response['access_token']
|
|
request.session['refresh_token'] = response['refresh_token']
|
|
request.session['valid_for'] = response['expires_in']
|
|
# print(response)
|
|
|
|
return redirect('user_data')
|
|
|
|
# }}} callback #
|
|
|
|
# user_data {{{ #
|
|
|
|
def user_data(request):
|
|
token_obtained_at = datetime.strptime(request.session['token_obtained_at'], TIME_FORMAT)
|
|
valid_for = int(request.session['valid_for'])
|
|
|
|
if token_expired(token_obtained_at, valid_for):
|
|
req_body = {
|
|
'grant_type': 'refresh_token',
|
|
'refresh_token': request.session['refresh_token'],
|
|
'client_id': os.environ['SPOTIFY_CLIENT_ID'],
|
|
'client_secret': os.environ['SPOTIFY_CLIENT_SECRET']
|
|
}
|
|
|
|
refresh_token_response = requests.post('https://accounts.spotify.com/api/token', data = req_body).json()
|
|
request.session['access_token'] = refresh_token_response['access_token']
|
|
request.session['valid_for'] = refresh_token_response['expires_in']
|
|
|
|
auth_token_str = "Bearer " + request.session['access_token']
|
|
headers = {
|
|
'Authorization': auth_token_str
|
|
}
|
|
|
|
user_data_response = requests.get('https://api.spotify.com/v1/me', headers = headers).json()
|
|
context = {
|
|
'user_name': user_data_response['display_name'],
|
|
'id': user_data_response['id'],
|
|
}
|
|
|
|
tracks_to_query = 5
|
|
parse_library(headers, tracks_to_query)
|
|
return render(request, 'spotifyvis/user_data.html', context)
|
|
|
|
# }}} user_data #
|
|
|
|
# parse_library {{{ #
|
|
|
|
def parse_library(headers, tracks):
|
|
"""Scans user's library for certain number of tracks to update library_stats with.
|
|
|
|
:headers: For API call.
|
|
:tracks: Number of tracks to get from user's library.
|
|
:returns: None
|
|
|
|
"""
|
|
# TODO: implement importing entire library with 0 as tracks param
|
|
# number of tracks to get with each call
|
|
limit = 5
|
|
# keeps track of point to get songs from
|
|
offset = 0
|
|
payload = {'limit': str(limit)}
|
|
for _ in range(0, tracks, limit):
|
|
payload['offset'] = str(offset)
|
|
saved_tracks_response = requests.get('https://api.spotify.com/v1/me/tracks', headers=headers, params=payload).json()
|
|
num_samples = offset
|
|
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'])
|
|
# get_genre(headers, track_dict['track']['album']['id'])
|
|
audio_features_dict = get_audio_features(headers, track_dict['id'])
|
|
for feature, feature_data in audio_features_dict.items():
|
|
update_audio_feature_stats(feature, feature_data, num_samples)
|
|
for artist_dict in track_dict['track']['artists']:
|
|
increase_artist_count(headers, artist_dict['name'], artist_dict['id'])
|
|
# calculates num_songs with offset + songs retrieved
|
|
library_stats['num_songs'] = offset + len(saved_tracks_response['items'])
|
|
offset += limit
|
|
calculate_genres_from_artists(headers)
|
|
pprint.pprint(library_stats)
|
|
|
|
# }}} parse_library #
|
|
|
|
def get_audio_features(headers, track_id):
|
|
"""Returns the audio features of a soundtrack
|
|
|
|
Args:
|
|
headers: headers containing the API token
|
|
track_id: the id of the soundtrack, needed to query the Spotify API
|
|
|
|
Returns:
|
|
A dictionary with the features as its keys
|
|
"""
|
|
|
|
response = requests.get("https://api.spotify.com/v1/audio-features/{}".format(track_id), headers = headers).json()
|
|
features_dict = {}
|
|
|
|
# Data that we don't need
|
|
useless_keys = [
|
|
"key", "mode", "type", "liveness", "id", "uri", "track_href", "analysis_url", "time_signature",
|
|
]
|
|
for key, val in response.items():
|
|
if key not in useless_keys:
|
|
features_dict[key] = val
|
|
|
|
return features_dict
|
|
|
|
|
|
def update_std_dev(cur_mean, cur_std_dev, new_data_point, sample_size):
|
|
"""Calculates the standard deviation for a sample without storing all data points
|
|
|
|
Args:
|
|
cur_mean: the current mean for N = (sample_size - 1)
|
|
cur_std_dev: the current standard deviation for N = (sample_size - 1)
|
|
new_data_point: a new data point
|
|
sample_size: sample size including the new data point
|
|
|
|
Returns:
|
|
(new_mean, new_std_dev)
|
|
"""
|
|
# This is an implementationof Welford's method
|
|
# http://jonisalonen.com/2013/deriving-welfords-method-for-computing-variance/
|
|
new_mean = ((sample_size - 1) * cur_mean + new_data_point) / sample_size
|
|
delta_variance = (new_data_point - new_mean) * (new_data_point - cur_mean)
|
|
new_std_dev = math.sqrt(
|
|
(math.pow(cur_std_dev, 2) * (sample_size - 2) + delta_variance) / (
|
|
sample_size - 1
|
|
))
|
|
return new_mean, new_std_dev
|
|
|
|
|
|
def update_audio_feature_stats(feature, new_data_point, sample_size):
|
|
"""Updates the audio feature statistics in library_stats
|
|
|
|
Args:
|
|
feature: the audio feature to be updated (string)
|
|
new_data_point: new data to update the stats with
|
|
sample_size: sample size including the new data point
|
|
|
|
Returns:
|
|
None
|
|
"""
|
|
# first time the feature is considered
|
|
if sample_size < 2:
|
|
library_stats['audio_features'][feature] = {
|
|
"average": new_data_point,
|
|
"std_dev": 0,
|
|
}
|
|
else:
|
|
cur_mean = library_stats['audio_features'][feature]['average']
|
|
cur_std_dev = library_stats['audio_features'][feature]['std_dev']
|
|
new_mean, new_std_dev = update_std_dev(cur_mean, cur_std_dev, new_data_point, sample_size)
|
|
|
|
library_stats['audio_features'][feature]['average'] = new_mean
|
|
library_stats['audio_features'][feature]['std_dev'] = new_std_dev
|
|
|
|
|
|
# increase_nested_key {{{ #
|
|
|
|
def increase_nested_key(top_key, nested_key, amount=1):
|
|
"""Increases count for the value of library_stats[top_key][nested_key]. Checks if nested_key exists already and takes
|
|
appropriate action.
|
|
|
|
:top_key: First key of library_stats.
|
|
:nested_key: Key in top_key's dict for which we want to increase value of.
|
|
:returns: None
|
|
|
|
"""
|
|
if nested_key not in library_stats[top_key]:
|
|
library_stats[top_key][nested_key] = amount
|
|
else:
|
|
library_stats[top_key][nested_key] += amount
|
|
|
|
# }}} increase_nested_key #
|
|
|
|
# increase_artist_count {{{ #
|
|
|
|
def increase_artist_count(headers, artist_name, artist_id):
|
|
"""Increases count for artist in library_stats and stores the artist_id.
|
|
|
|
:headers: For making the API call.
|
|
:artist_name: Artist to increase count for.
|
|
:artist_id: The Spotify ID for the artist.
|
|
:returns: None
|
|
|
|
"""
|
|
if artist_name not in library_stats['artists']:
|
|
library_stats['artists'][artist_name] = {}
|
|
library_stats['artists'][artist_name]['count'] = 1
|
|
library_stats['artists'][artist_name]['id'] = artist_id
|
|
else:
|
|
library_stats['artists'][artist_name]['count'] += 1
|
|
|
|
# }}} increase_artist_count #
|
|
|
|
# get_track_info {{{ #
|
|
|
|
def get_track_info(track_dict):
|
|
"""Get all the info from the track_dict directly returned by the API call in parse_library.
|
|
|
|
:track_dict: Dict returned from the API call containing the track info.
|
|
:returns: None
|
|
|
|
"""
|
|
# popularity
|
|
library_stats['popularity'].append(track_dict['popularity'])
|
|
|
|
# year
|
|
year_released = track_dict['album']['release_date'].split('-')[0]
|
|
increase_nested_key('year_released', year_released)
|
|
|
|
# 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']) / 60
|
|
|
|
# }}} get_track_info #
|
|
|
|
# calculate_genres_from_artists {{{ #
|
|
|
|
def calculate_genres_from_artists(headers):
|
|
"""Tallies up genre counts based on artists in library_stats.
|
|
|
|
:headers: For making the API call.
|
|
:returns: None
|
|
|
|
"""
|
|
for artist_entry in library_stats['artists'].values():
|
|
artist_response = requests.get('https://api.spotify.com/v1/artists/' + artist_entry['id'], headers=headers).json()
|
|
# increase each genre count by artist count
|
|
for genre in artist_response['genres']:
|
|
increase_nested_key('genres', genre, artist_entry['count'])
|
|
|
|
# }}} calculate_genres_from_artists #
|