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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 23 10:15:02 2022
@author: halimbouayad
"""
import spotipy
from spotipy.oauth2 import SpotifyOAuth
import json
import spotipy.util as util
from spotipy.oauth2 import SpotifyClientCredentials
import requests
from requests import *
import pandas as pd
import streamlit as st
import numpy as np
import time
def connect(scope, username):
scope = "user-library-read"
token = SpotifyOAuth(scope=scope, username=username)
spotifyObject = spotipy.Spotify(auth_manager=token)
return spotifyObject
def get_features(a):
feature_names = [f for f in a[0]]
features = []
for i in range(len(a)):
features.append([a[i][f] for f in a[i]])
# features=list(np.pad(features, (0, max_length), 'constant'))
#print(len(features))
return features, feature_names
def get_artist(liste):
for i, artists in enumerate(liste):
if i ==0:
artist=artists['name']
else:
artist=artist+", "+artists['name']
return artist
@st.cache
def get_data(sp, username):
playlists = sp.current_user_playlists(limit=50)
tr_names=[]
pl_urls=[]
pl_names=[]
#tracks=[]
#links=[]
date_added=[]
popularity=[]
ids=[]
artist_list=[]
#features=[]
features=pd.DataFrame()
df=pd.DataFrame()
while playlists:
for i, playlist in enumerate(playlists['items']):
#print("%4d %s %s" % (i + 1 + playlists['offset'], playlist['uri'], playlist['name']))
# urls.append(playlist['uri'])
# names.append(playlist['name'])
# tracks.append(playlist['tracks']['total'])
# links.append(playlist['external_urls']['spotify'])
# ids.append(playlist['id'])
#print(playlist)
#st.text(last)
print(playlist)
playlist_content=sp.playlist(playlist['uri'])
for i,trax in enumerate(playlist_content['tracks']['items']):
#Track name
tr_names.append(trax['track']['name'])
#Track ID
ids.append(trax['track']['id'])
date_added.append(trax['added_at'])
popularity.append(trax['track']['popularity'])
#Playlist Name
pl_names.append(playlist['name'])
#Track URI
pl_urls.append(playlist['uri'])
artist_list.append(get_artist(trax['track']['artists']))
test='All done!'
if playlists['next']:
playlists = sp.next(playlists)
else:
playlists = None
#audio_analysis
df['playlist']=pl_names
df['track']=tr_names
df['artist']=artist_list
df['playlist_url']=pl_urls
df['track_id']=ids
df['date_added']=date_added
df['popularity']=popularity
#Audio Features
# start=0
# for i in range(int(np.ceil(len(df)/50))):
# end=max(start+50, len(df))
# print('test='+str(i))
# print(feat)
#API only handles batch of 100 of ids
for start in range(0, len(df), 100):
if start+100>len(df):
end=len(df)
else:
end=start+100
audio_feat=sp.audio_features(df.track_id[start:end])
##print('audio feat=======')
#print(audio_feat)
#print('feat=======')
feat, feat_names = get_features(audio_feat)
print('-----feat')
print(feat)
print('-----features')
print(features)
features=pd.concat([features, pd.DataFrame(feat)], axis=0)
print('-----features')
print(features)
#print(len(features))
features.columns=feat_names
df=pd.concat([df.reset_index(), features.reset_index()], axis=1)
df=df.drop(columns=['index', 'index'])
#df.to_pickle('./spotify.pkl')
return df, test
# def playlist_details(sp, df, username):
# selected=st.selectbox('Please select to zoom', df.name)
# uri=df[df.name==selected].reset_index()['url'][0]
# #df_tracks=pd.DataFrame(playlist_content)
# # Connection to Spotipy
# #sp=connect(scope='user-library_read', username=username)
# playlist_content=sp.playlist(uri)
# names=[]
# releasedays=[]
# ids=[]
# for i,trax in enumerate(playlist_content['tracks']['items']):
# names.append(trax['track']['name'])
# #releasedays.append(trax['track']['added_at'])
# ids.append(trax['track']['id'])
# pl=pd.DataFrame()
# pl['name']=names
# #pl['release_date']=releasedays
# pl['id']=ids
# st.dataframe(pl)
# return df
def EDA(df):
st.header("EDA")
#Key Metrics
f_value=st.selectbox('Select a playlist', df.playlist.unique())
dff=df[df.playlist==f_value]
cols=['danceability','energy','acousticness','tempo','loudness','valence']
for col in cols[:2]:
temp=dff.describe().loc['mean',:][col]
st.metric(col, '{:.1%}'.format(temp))
st.text('Top songs from that album:')
st.dataframe(dff)
selected=st.selectbox('By playlist (click to select other filter)', df.columns)
st.bar_chart(df[df.playlist==f_value].groupby(selected).agg({'danceability':'mean'}))
#if st.button('View playlist!'):
# def playlist_overview(sp, username):
# # scope = "user-library-read"
# # token = SpotifyOAuth(scope=scope, username=username)
# # spotifyObject = spotipy.Spotify(auth_manager=token)
# playlists = sp.current_user_playlists(limit=50)
# print('=================')
# #response = requests.get("http://localhost:1234", timeout=10)
# #print(response.json())
# print('=================')
# df=pd.DataFrame()
# urls=[]
# names=[]
# tracks=[]
# links=[]
# ids=[]
# while playlists:
# for i, playlist in enumerate(playlists['items']):
# #print("%4d %s %s" % (i + 1 + playlists['offset'], playlist['uri'], playlist['name']))
# urls.append(playlist['uri'])
# names.append(playlist['name'])
# tracks.append(playlist['tracks']['total'])
# links.append(playlist['external_urls']['spotify'])
# ids.append(playlist['id'])
# #print(playlist)
# #st.text(last)
# if playlists['next']:
# playlists = sp.next(playlists)
# else:
# playlists = None
# #audio_analysis
# df['name']=names
# df['tracks']=tracks
# df['url']=urls
# df['id']=ids
# st.dataframe(df)
#[a[0][i] for i in a[0]]
# 1seFIg83Eac87g1hmtBRjG
# 5ZwRTJD1bTACtIuW5Iibnu |