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musicAI.py
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# FLASK WEB DEVELOPMENT
import flask
from flask import request, jsonify , render_template ,jsonify
# requesting data and converting api info to base64
import requests
import json
import base64
# string to python class type
import ast
# check files in running machine
from os.path import exists
# debugging
import time
import pprint
# webcrawl lyrics
import bs4
# WATSON AI
import watson
# MATH
import statistics
import random
# TODO make a json database of all the songs watson has already analyzed
# make a function to apply the database before running the analysis, check if we already have it
# # DISABLE EXTRA INFORMATION FROM LOGS
# import logging
# log = logging.getLogger('werkzeug')
# log.disabled = True
# FLASK INIT VARIABLES
application = flask.Flask(__name__ , static_url_path='', static_folder='static' , template_folder='templates')
application.config["DEBUG"] = True
application.secret_key = 'something secret'
# SPOTFIY INIT VARIABLES
spotify_clientId = ''
spotify_clientSecret = ''
# GENIUS INIT VARIABLES
genius_clientId = ''
genius_clientsECRET = ''
# general use INIT VARIABLES
spotify_callbackURL = ''
genius_callbackURL = ''
API_COOLDOWN_RATE = 3
# auth SPOTFITY scopes
scopes = [
'ugc-image-upload',
'user-read-recently-played',
'user-top-read',
'user-read-playback-position',
'user-read-playback-state',
'user-modify-playback-state',
'user-read-currently-playing',
'app-remote-control',
'streaming',
'playlist-modify-public',
'playlist-modify-private',
'playlist-read-private',
'playlist-read-collaborative',
'user-follow-modify',
'user-follow-read',
'user-library-modify',
'user-library-read',
'user-read-email',
'user-read-private'
]
spotty_full_permission = ''
for i in scopes:
spotty_full_permission += i + ' '
# genius scopes
genius_scopes = [
'me',
'create_annotation',
'manage_annotation',
'vote',
]
genius_full_permission = ''
for i in genius_scopes:
genius_full_permission += i + ' '
# database check
path_to_file = "song_db.json"
if exists(path_to_file):
pass
else:
with open("song_db.json" , "w") as f:
f.write("{}")
# homepage
@application.route('/', methods=['GET'])
def home():
if "amount" not in flask.session:
flask.session['amount'] = 0
content = {
'implciit_url' : authorize_spotify_IMPLICIT(),
'refreshable_url' : authorize_spotify_REFRESHABLE()
}
return render_template('homepage.html' , content = content)
# spotify login
@application.route('/login/')
def logging_in():
gen_auth_url = Oauth_function( 'https://api.genius.com/oauth/authorize' , genius_clientId , genius_callbackURL , genius_full_permission , genius_clientsECRET , 'code' )
# refreshable
if 'code' in flask.request.args :
auth_code = flask.request.args['code']
spotify_token = _retrieve_refreshable_token(auth_code)
# ******************
# WE ARE NOW SAVING THE TOKEN TO A WEB TECNIQUE
# ******************
# save to sessions
# flask.session['spotify_token'] = spotify_token
# return flask.redirect('/Dashboard')
# save to url argument
# return flask.redirect(flask.url_for('Dashboard', spotify_token = spotify_token ))
# save to cookies
if 'spotify_token' in flask.session and flask.session.get('spotify_expired') == False:
return flask.redirect( gen_auth_url )
# return flask.redirect('/Dashboard')
else:
resp = flask.make_response(flask.redirect(gen_auth_url))
# resp = flask.make_response(flask.redirect('/Dashboard'))
flask.session['spotify_token'] = spotify_token
flask.session['spotify_expired'] = False
return resp
return flask.redirect( "/" )
# genius login
@application.route('/gen_login/')
def gen_login():
genius_token = flask.request.args.get("code")
genius_token = _retrieve_genius_token(genius_token)
# save to cookies
if 'genius_token' in flask.session and flask.session.get('genius_expired') == False:
return flask.redirect('/Dashboard')
else:
resp = flask.make_response(flask.redirect('/Dashboard'))
flask.session['genius_token'] = genius_token
flask.session['genius_expired'] = False
return resp
# User Dashboard
# TODO @app.route('/user/<username>')
@application.route('/Dashboard', methods=['GET'])
def Dashboard():
# COOKIES
if 'spotify_token' not in flask.session or flask.session['spotify_expired'] == True:
print(f"\n\n\n------------\nAccess denied (spotify token): {request.remote_addr}\n------------")
return flask.redirect('/')
elif 'genius_token' not in flask.session :
print(f"\n\n\n------------\nAccess denied (genius token): {request.remote_addr}\n------------")
return flask.redirect('/')
# ************
# RETRIEVING THE TOKEN!!!!
# ************
# retrieve from sessions
# spotify_token = flask.session['spotify_token']
# retrieve from url arguments
# spotify_token = request.args.get('spotify_token')
# retrieve from cookies
spotify_token = flask.session.get('spotify_token')
# fetch user data from spotify after auth functions
user_data = fetch_spotify_data(spotify_token , 'https://api.spotify.com/v1/me' )
# retrive amount analyzed
if "amount" in flask.session:
amount_analyzed = flask.session['amount']
else:
flask.session['amount'] = 0
# USING TRY METHOD TO FIND KEYS IN user_data RESPONSE
try:
# save username throughout session
flask.session['username'] = user_data['display_name']
flask.session['email'] = user_data['email']
# final display
context = {
'data' : user_data,
'username' : flask.session['username'],
'email' : flask.session['email'] ,
'meme' : fetch_meme( text0 = f'{flask.session["username"]} thinks', text1 = "they're a data scientist..." )['data']['url'] ,
"amount_analyzed" : amount_analyzed,
}
return render_template('user_dashboard.html' , context = context )
except Exception as e:
print("ERROR: Dashboard()")
flask.session['spotify_expired'] = True
return flask.redirect( authorize_spotify_REFRESHABLE() )
# SEARCH A SONG
@application.route('/search-form', methods=['GET'])
def search_form():
return flask.render_template('search_form.html' )
@application.route('/search-results', methods=['POST'])
def search_results():
spotify_token = flask.session.get('spotify_token')
q = flask.request.form.get('q')
q_type = flask.request.form.get('q_type')
artists = []
tracks = []
images = []
# SEARCHING FOR TRACKS
if q_type == None or q_type == 'None':
q_type = 'track'
# search spotify
data = fetch_spotify_data(spotify_token, f'https://api.spotify.com/v1/search?q={q}&type={q_type}')
q_type += 's'
tracks = data[q_type]['items']
# add images
# for i in range(len(tracks)):
# tracks[i]['thumbnail'] = fetch_spotify_data(spotify_token, tracks[i]['artists'][0]['href'] )['images'][-1]['url']
for i in tracks:
i['thumbnail'] = fetch_spotify_data(spotify_token, i['artists'][0]['href'] )['images'][-1]['url']
# SEARCHING FOR ARTISTS
else:
q_type = 'artist'
# search spotify
data = fetch_spotify_data(spotify_token, f'https://api.spotify.com/v1/search?q={q}&type={q_type}')
q_type += 's'
artists = data[q_type]['items']
content = {
'artists' : artists ,
'tracks' : tracks
}
return flask.render_template('search_results.html' , content = content )
@application.route('/song-analysis', methods=['POST' ])
def song_analysis():
spotify_token = flask.session.get('spotify_token')
song_id = flask.request.form.get("analysis_id")
song_title = flask.request.form.get("song_name")
song_artist_name = flask.request.form.get("song_artist_name")
stats = _song_analysis_details(spotify_token , song_id , False , song_title , song_artist_name)
stats['song_title'] = song_title
stats['song_artist_name'] = song_artist_name
# add to total amount analyzed
flask.session['amount'] += 1
print("\nSEARCHED SONG " )
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if stats['ai']['lyrics'] is not None :
ai_response = True
emotionsLabels = list(stats['ai']['nlu']['averageEmotion'].keys())
emotionValues = [ stats['ai']['nlu']['averageEmotion'][i] for i in emotionsLabels ]
if ai_response: #kinda redundant but i mean.... why not have the modularity?
content = {
'stats' : stats,
'ai_response' : ai_response,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
else: #NO LYRICS
content = {
'stats' : stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
return flask.render_template('song_analysis.html' , content = content)
# NOTE:
# GROUP ANALYSIS IS A LITTLE DIFFERENT FROM LIKES ANALYSIS
# both variables are dictionaries with numbers as keys starting at zero
# each value is another dictionary with keys : ['owner', 'name', 'description', 'id', 'songs']
# musicGroup['songs'] is an array with tuples
# each tuple is ( "id" , "title" , ["artists"] )
# Album Analysis
@application.route('/album-analysis', methods=['GET'])
def album_analysis():
# grab music
spotify_token = flask.session.get('spotify_token')
albums = user_albums(spotify_token)
# GROUP ANALYSIS FUNCTION USES THE liked_group_average() function
final = group_music_analysis(spotify_token, albums)
# Add amount to total analyized
flask.session['amount'] += final['ai']['amount']
# GRAPHING
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if final['ai'] is not None :
ai_response = True
emotionsLabels = list(final['ai']['averageEmotion'].keys())
emotionValues = [ final['ai']['averageEmotion'][i] for i in emotionsLabels ]
# No point to change as it is the same code as the song analysis from here to the components in html...
USERNAME = fetch_spotify_data( spotify_token , 'https://api.spotify.com/v1/me' )
final['song_title'] = USERNAME['display_name']
final['song_artist_name'] = "Playlist Total Analyses"
#kinda redundant but i mean.... why not have the modularity?
if ai_response:
content = {
'stats' : final,
'ai_response' : ai_response,
# 'each_song_stats' : each_song_stats,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [final[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
#NO LYRICS
else:
content = {
'stats' : final,
# 'each_song_stats' : each_song_stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [final[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
# sessions for passed songs on html
return flask.render_template('Liked_Group_analysis.html' , content = content)
# Playlist Analysis
@application.route('/playlist-analysis', methods=['GET'])
def playlist_analysis():
# grab music
spotify_token = flask.session.get('spotify_token')
playlist_response = user_playlists(spotify_token)
# GROUP ANALYSIS FUNCTION USES THE liked_group_average() function
final = group_music_analysis(spotify_token, playlist_response)
# Add amount to total analyized
flask.session['amount'] += final['ai']['amount']
# GRAPHING
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if final['ai'] is not None :
ai_response = True
emotionsLabels = list(final['ai']['averageEmotion'].keys())
emotionValues = [ final['ai']['averageEmotion'][i] for i in emotionsLabels ]
# No point to change as it is the same code as the song analysis from here to the components in html...
USERNAME = fetch_spotify_data( spotify_token , 'https://api.spotify.com/v1/me' )
final['song_title'] = USERNAME['display_name']
final['song_artist_name'] = "Playlist Total Analyses"
#kinda redundant but i mean.... why not have the modularity?
if ai_response:
content = {
'stats' : final,
'ai_response' : ai_response,
# 'each_song_stats' : each_song_stats,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [final[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
#NO LYRICS
else:
content = {
'stats' : final,
# 'each_song_stats' : each_song_stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [final[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
# sessions for passed songs on html
return flask.render_template('Liked_Group_analysis.html' , content = content)
# INDIVISUAL GROUP DISPLAY
# Display all albums and links next to them to pictures of the album
@application.route('/indivisual-album-display', methods=['GET'])
def indivisualAlbumDisplay():
# going to hold every album and their display data ['pictures'] , ['popularity'], ['name'] , ['uri']
display_data = {
'username' : flask.session['username']
}
# grab music
spotify_token = flask.session.get('spotify_token')
albums = user_albums(spotify_token)
# gather pictures
for album in albums:
album_id = albums[album]["id"]
data = fetch_spotify_data(spotify_token , f"https://api.spotify.com/v1/albums/{album_id}")
# add to display data
display_data[album] = {}
display_data[album]['name'] = albums[album]['name']
display_data[album]['id'] = album_id
display_data[album]['pictures'] = data['images']
display_data[album]['popularity'] = albums[album]['popularity']
display_data[album]['amount'] = len( albums[album]['songs'] )
display_data[album]['release_date'] = data['release_date']
display_data[album]['spotify_page'] = f"https://open.spotify.com/track/{album_id}"
display_data[album]['songs'] = albums[album]['songs']
# debug = fetch_spotify_data(spotify_token , f"https://api.spotify.com/v1/albums/5SKnXCvB4fcGSZu32o3LRY?si=17b25a68a03c497b")
return flask.render_template('indivisual_group_listing.html' , display_data = display_data)
@application.route('/indivisual-playlist-display', methods=['GET'])
def indivisualPlaylistDisplay():
# grab music
spotify_token = flask.session.get('spotify_token')
playlist_response = user_playlists(spotify_token)
# going to hold every album and their display data ['pictures'] , ['popularity'], ['name'] , ['uri']
display_data = {
'username' : flask.session['username']
}
# gather pictures
for pl in playlist_response:
playlist_id = playlist_response[pl]["id"]
data = fetch_spotify_data(spotify_token , f"https://api.spotify.com/v1/playlists/{playlist_id}")
# add to display data
display_data[ pl ] = {}
display_data[ pl ]['name'] = playlist_response[pl]['name']
display_data[ pl ]['id'] = playlist_id
display_data[ pl ]['pictures'] = data['images']
display_data[ pl ]['amount'] = len( playlist_response[pl]['songs'] )
display_data[ pl ]['spotify_page'] = f"https://open.spotify.com/playlist/{playlist_id}"
display_data[ pl ]['popularity'] = f"{data['followers']['total']} listeners"
display_data[ pl ]['songs'] = playlist_response[pl]['songs']
# PLAYLIST DATA DOESNT RETURN (fetch_album does)
# display_data[ pl ]['release_date'] = data['release_date']
return flask.render_template('indivisual_group_listing.html' , display_data = display_data)
# Playlist FINAL ANALYSIS
@application.route('/indivisual-album-analysis', methods=['POST'])
def indivisual_album_analysis():
spotify_token = flask.session.get('spotify_token')
# grab context from form POST from /indivisual-playlist-display
user_form_args = flask.request.form
# print(user_form_args)
# display page passed in list of songs from the form
music_list = flask.request.form.get('songs[]')
# convert string return from form into list
music_list = ast.literal_eval(music_list)
# music_list = music_list.strip('][').split(', ')
# clean list into format that fits the liked_group_average() format
for x in range(0 , len(music_list) , 1):
# print( music_list[x] )
song_info = {
"artists" : music_list[x][2],
"name" : music_list[x][1] ,
"id" : music_list[x][0],
}
# replace music list with song info
music_list[x] = song_info
# this function returns two for parallel display of each (song) & grouped ai
song_stats , each_song_stats = liked_group_average(spotify_token , music_list)
# Add amount to total analyized
flask.session['amount'] += song_stats['ai']['amount']
# GRAPHING
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if song_stats['ai'] is not None :
ai_response = True
emotionsLabels = list(song_stats['ai']['averageEmotion'].keys())
emotionValues = [ song_stats['ai']['averageEmotion'][i] for i in emotionsLabels ]
# No point to change as it is the same code as the song analysis from here to the components in html...
USERNAME = fetch_spotify_data( spotify_token , 'https://api.spotify.com/v1/me' )
song_stats['song_title'] = USERNAME['display_name']
song_stats['song_artist_name'] = user_form_args["group_name"]
#kinda redundant but i mean.... why not have the modularity?
if ai_response:
content = {
'stats' : song_stats,
'ai_response' : ai_response,
'each_song_stats' : each_song_stats,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
#NO LYRICS
else:
content = {
'stats' : song_stats,
'each_song_stats' : each_song_stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
# sessions for passed songs on html
return flask.render_template('Liked_Group_analysis.html' , content = content)
# Playlist FINAL ANALYSIS
@application.route('/indivisual-playlist-analysis', methods=['POST'])
def indivisual_playlist_analysis():
spotify_token = flask.session.get('spotify_token')
# grab context from form POST from /indivisual-playlist-display
user_form_args = flask.request.form
# print(user_form_args)
# display page passed in list of songs from the form
music_list = flask.request.form.get('songs[]')
# convert string return from form into list
music_list = ast.literal_eval(music_list)
# music_list = music_list.strip('][').split(', ')
# clean list into format that fits the liked_group_average() format
for x in range(0 , len(music_list) , 1):
# print( music_list[x] )
song_info = {
"artists" : music_list[x][2],
"name" : music_list[x][1] ,
"id" : music_list[x][0],
}
# replace music list with song info
music_list[x] = song_info
# this function returns two for parallel display of each (song) & grouped ai
song_stats , each_song_stats = liked_group_average(spotify_token , music_list)
# Add amount to total analyized
flask.session['amount'] += song_stats['ai']['amount']
# GRAPHING
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if song_stats['ai'] is not None :
ai_response = True
emotionsLabels = list(song_stats['ai']['averageEmotion'].keys())
emotionValues = [ song_stats['ai']['averageEmotion'][i] for i in emotionsLabels ]
# No point to change as it is the same code as the song analysis from here to the components in html...
USERNAME = fetch_spotify_data( spotify_token , 'https://api.spotify.com/v1/me' )
song_stats['song_title'] = USERNAME['display_name']
song_stats['song_artist_name'] = user_form_args["group_name"]
#kinda redundant but i mean.... why not have the modularity?
if ai_response:
content = {
'stats' : song_stats,
'ai_response' : ai_response,
'each_song_stats' : each_song_stats,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
#NO LYRICS
else:
content = {
'stats' : song_stats,
'each_song_stats' : each_song_stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
# sessions for passed songs on html
return flask.render_template('Liked_Group_analysis.html' , content = content)
# liked songs Analysis
@application.route('/liked-analysis', methods=['GET'])
def liked_analysis():
spotify_token = flask.session.get('spotify_token')
likes = user_likes(spotify_token)
# this function returns two for parallel display of each (song) & grouped ai
song_stats , each_song_stats = liked_group_average(spotify_token , likes)
# Add amount to total analyized
flask.session['amount'] += song_stats['ai']['amount']
# GRAPHING
# DATA POINTS FOR BAR GRAPH
spotty_chart_datapoint_labels = [
'danceability',
'energy',
'speechiness',
'acousticness',
# 'instrumentalness',
'liveness',
'valence',
]
# PIE CHART
ai_response = False
if song_stats['ai'] is not None :
ai_response = True
emotionsLabels = list(song_stats['ai']['averageEmotion'].keys())
emotionValues = [ song_stats['ai']['averageEmotion'][i] for i in emotionsLabels ]
# No point to change as it is the same code as the song analysis from here to the components in html...
USERNAME = fetch_spotify_data( spotify_token , 'https://api.spotify.com/v1/me' )
song_stats['song_title'] = USERNAME['display_name']
song_stats['song_artist_name'] = "❤"
#kinda redundant but i mean.... why not have the modularity?
if ai_response:
content = {
'stats' : song_stats,
'ai_response' : ai_response,
'each_song_stats' : each_song_stats,
# spotify data
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : emotionsLabels,
'emotionValues' : emotionValues,
}
#NO LYRICS
else:
content = {
'stats' : song_stats,
'each_song_stats' : each_song_stats,
'ai_response' : ai_response,
'spotty_chart_labels' : spotty_chart_datapoint_labels ,
'spotty_chart_data' : [song_stats[i] for i in spotty_chart_datapoint_labels ] ,
# watson data
'emotionLabels' : None,
'emotionValues' : None,
}
# sessions for passed songs on html
return flask.render_template('Liked_Group_analysis.html' , content = content)
# FLASK ERRORS
@application.errorhandler(404)
def page_not_found(e):
try:
meme_pic = fetch_meme('Look everyone!' , 'this guys lost...' )['data']['url']
tag = f'<img src="{meme_pic}" alt="its a trap!">'
return tag, 404
except Exception as e:
print("wtf happened with my meme???")
print(e)
return 'are u lost?', 404
@application.errorhandler(500)
def handle_intsrverr(e):
return flask.redirect('/Dashboard')
# SPOTIFY AND GENIUS AUTHORIZATIONS
# Authorization by getting token
def authorize_spotify_NO_USER():
url = "https://accounts.spotify.com/api/token"
headers = {}
data = {}
# Encode as Base64
message = f"{spotify_clientId}:{spotify_clientSecret}"
messageBytes = message.encode('ascii')
base64Bytes = base64.b64encode(messageBytes)
base64Message = base64Bytes.decode('ascii')
headers['Authorization'] = f"Basic {base64Message}"
data['grant_type'] = "client_credentials"
r = requests.post(url, headers=headers, data=data).json()
token = r['access_token']
return token
def authorize_spotify_IMPLICIT():
headers = {
'client_id' : spotify_clientId,
'response_type' : 'token',
'redirect_uri' : spotify_callbackURL,
'scope' : spotty_full_permission,
}
# open url on browser
url = f"https://accounts.spotify.com/authorize?client_id={headers['client_id']}&response_type={headers['response_type']}&redirect_uri={headers['redirect_uri']}&scope={headers['scope']}"
return url
def authorize_spotify_REFRESHABLE():
headers = {
'client_id' : spotify_clientId,
'response_type' : 'code',
'redirect_uri' : spotify_callbackURL,
'scope' : spotty_full_permission,
}
# open url on browser
url = f"https://accounts.spotify.com/authorize?client_id={headers['client_id']}&response_type={headers['response_type']}&redirect_uri={headers['redirect_uri']}&scope={headers['scope']}"
return url
def _retrieve_refreshable_token(auth_code):
# turn this into new function after user goes to web_page and logs in
url = "https://accounts.spotify.com/api/token"
headers = {}
data = {}
# Encode as Base64
message = f"{spotify_clientId}:{spotify_clientSecret}"
messageBytes = message.encode('ascii')
base64Bytes = base64.b64encode(messageBytes)
base64Message = base64Bytes.decode('ascii')
headers['Authorization'] = f"Basic {base64Message}"
data['grant_type'] = "authorization_code"
data['code'] = auth_code
data['redirect_uri'] = spotify_callbackURL
r = requests.post(url, headers=headers, data=data).json()
token = r['access_token']
return token
def _retrieve_genius_token(auth_code):
# turn this into new function after user goes to web_page and logs in
url = "https://api.genius.com/oauth/token"
data = {}
data['code'] = auth_code
data['client_id'] = genius_clientId
data['client_secret'] = genius_clientsECRET
data['grant_type'] = "authorization_code"
data['redirect_uri'] = genius_callbackURL
data['response_type'] = 'code'
r = requests.post(url, data=data).json()
token = r['access_token']
return token
# Genius
def Oauth_function( base_url , CLIENT_ID , callback , scope , clientsECRET , res_type):
url = f'{base_url}?client_id={CLIENT_ID}&redirect_uri={callback}&scope={scope}&response_type={res_type}&client_secret={clientsECRET}'
return url
# SPOTIFFY ENDPOINTS
def fetch_spotify_data(token , endpoint ):
headers = {"Authorization": "Bearer " + token}
res = requests.get(url= endpoint , headers=headers ).json()
if 'error' in res:
print(f"\n{flask.request.remote_addr} -------\nERROR {res['error']['message']} \n")
flask.session['spotify_expired'] = True
return f"ERROR"
# return flask.redirect(flask.url_for('Dashboard', Authorization= f'Bearer {token}' ))
return res