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166 lines
5.5 KiB
166 lines
5.5 KiB
from django.shortcuts import render, redirect
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from django.http import HttpResponse, HttpResponseBadRequest
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import math
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import random
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import requests
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import os
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import urllib
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from datetime import datetime
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TIME_FORMAT = '%Y-%m-%d-%H-%M-%S'
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def generate_random_string(length):
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"""Generates a random string of a certain length
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Args:
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length: the desired length of the randomized string
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Returns:
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A random string
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"""
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rand_str = ""
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possible_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
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for _ in range(length):
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rand_str += possible_chars[random.randint(0, len(possible_chars) - 1)]
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return rand_str
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def token_expired(token_obtained_at, valid_for):
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"""Returns True if token expired, False if otherwise
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Args:
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token_obtained_at: datetime object representing the date and time when the token was obtained
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valid_for: the time duration for which the token is valid, in seconds
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"""
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time_elapsed = (datetime.today() - token_obtained_at).total_seconds()
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return time_elapsed >= valid_for
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# Create your views here.
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def index(request):
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return render(request, 'spotifyvis/index.html')
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def login(request):
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# use a randomly generated state string to prevent cross-site request forgery attacks
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state_str = generate_random_string(16)
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request.session['state_string'] = state_str
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payload = {
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'client_id': os.environ['SPOTIFY_CLIENT_ID'],
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'response_type': 'code',
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'redirect_uri': 'http://localhost:8000/callback',
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'state': state_str,
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'scope': 'user-library-read',
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'show_dialog': False
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}
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params = urllib.parse.urlencode(payload) # turn the payload dict into a query string
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authorize_url = "https://accounts.spotify.com/authorize/?{}".format(params)
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return redirect(authorize_url)
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def callback(request):
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# Attempt to retrieve the authorization code from the query string
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try:
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code = request.GET['code']
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except KeyError:
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return HttpResponseBadRequest("<h1>Problem with login</h1>")
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payload = {
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'grant_type': 'authorization_code',
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'code': code,
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'redirect_uri': 'http://localhost:8000/callback',
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'client_id': os.environ['SPOTIFY_CLIENT_ID'],
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'client_secret': os.environ['SPOTIFY_CLIENT_SECRET'],
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}
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response = requests.post('https://accounts.spotify.com/api/token', data = payload).json()
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# despite its name, datetime.today() returns a datetime object, not a date object
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# use datetime.strptime() to get a datetime object from a string
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request.session['token_obtained_at'] = datetime.strftime(datetime.today(), TIME_FORMAT)
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request.session['access_token'] = response['access_token']
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request.session['refresh_token'] = response['refresh_token']
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request.session['valid_for'] = response['expires_in']
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print(response)
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return redirect('user_data')
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def user_data(request):
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token_obtained_at = datetime.strptime(request.session['token_obtained_at'], TIME_FORMAT)
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valid_for = int(request.session['valid_for'])
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if token_expired(token_obtained_at, valid_for):
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req_body = {
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'grant_type': 'refresh_token',
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'refresh_token': request.session['refresh_token'],
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'client_id': os.environ['SPOTIFY_CLIENT_ID'],
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'client_secret': os.environ['SPOTIFY_CLIENT_SECRET']
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}
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refresh_token_response = requests.post('https://accounts.spotify.com/api/token', data = req_body).json()
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request.session['access_token'] = refresh_token_response['access_token']
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request.session['valid_for'] = refresh_token_response['expires_in']
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auth_token_str = "Bearer " + request.session['access_token']
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headers = {
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'Authorization': auth_token_str
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}
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user_data_response = requests.get('https://api.spotify.com/v1/me', headers = headers).json()
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context = {
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'user_name': user_data_response['display_name'],
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'id': user_data_response['id'],
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}
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return render(request, 'spotifyvis/user_data.html', context)
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def get_features(track_id, token):
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"""Returns the features of a soundtrack
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Args:
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track_id: the id of the soundtrack, needed to query the Spotify API
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token: an access token for the Spotify API
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Returns:
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A dictionary with the features as its keys
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"""
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headers = {
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'Authorization': token,
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}
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response = requests.get("https://api.spotify.com/v1/audio-features/{}".format(track_id), headers = headers).json()
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features_dict = {}
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# Data that we don't need
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useless_keys = [
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"key", "mode", "type", "liveness", "id", "uri", "track_href", "analysis_url", "time_signature",
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]
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for key, val in response.items():
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if key not in useless_keys:
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features_dict[key] = val
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return features_dict
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def update_std_dev(cur_mean, new_data_point, sample_size):
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"""Calculates the standard deviation for a sample without storing all data points
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Args:
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cur_mean: the current mean for N = (sample_size - 1)
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new_data_point: a new data point
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sample_size: sample size including the new data point
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Returns:
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(updated_mean, std_dev)
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"""
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# This is an implementationof Welford's method
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# http://jonisalonen.com/2013/deriving-welfords-method-for-computing-variance/
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new_mean = ((sample_size - 1) * cur_mean + new_data_point) / sample_size
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std_dev = (new_data_point - new_mean) * (new_data_point - cur_mean)
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return new_mean, std_dev
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