def test():
token = startup.getAccessToken()
if len(token) == 0:
return redirect(url_for('index'))
access_token = token[0]
artists = plotify_data.get_top_genres(access_token)
data = pd.DataFrame.from_records(artists)
data.columns = ['id', 'name', 'count']
return data.to_csv(index=False)
def getUserLibrary():
sp = spotipy.Spotify(auth=startup.getAccessToken()[0])
results = sp.current_user_saved_tracks()
output = []
for item in results['items']:
track = item['track']
output.append(track['name'] + ' - ' + track['artists'][0]['name'])
return output
def getUserPlaylistsById():
sp = spotipy.Spotify(auth=startup.getAccessToken()[0])
playlists = sp.current_user_playlists()
output = []
for playlist in playlists['items']:
name = playlist['id']
output.append(name)
return output
def getSongsInPlaylist(id):
sp = spotipy.Spotify(auth=startup.getAccessToken()[0])
playlist = sp.playlist_tracks(id)
output = []
for track in playlist['items']:
output.append(track['track']['name'] + " by " +
track['track']['artists'][0]['name']
) # + " by " + track['artists'][0]['name'])
print(output)
return output
def main():
response = startup.getUser()
token = startup.getAccessToken()
if len(token) == 0:
return redirect(url_for('index'))
access_token = token[0]
artists = plotify_data.get_top_genres(access_token)
genres = [item[1] for item in artists][:10]
username, prof_pic = plotify_data.get_username(access_token)
stracks = plotify_data.get_top_tracks(access_token, 'short_term')
sartists = plotify_data.get_top_artists(access_token, 'short_term')
mtracks = plotify_data.get_top_tracks(access_token, 'medium_term')
martists = plotify_data.get_top_artists(access_token, 'medium_term')
ltracks = plotify_data.get_top_tracks(access_token, 'long_term')
lartists = plotify_data.get_top_artists(access_token, 'long_term')
years, count = plotify_data.get_track_data(access_token, 'long_term')
legend = 'Tracks by Year'
danceable, averaged, plist_names = plotify_data.get_playlist_metrics(
access_token)
radar_labels = [
'danceability', 'energy', 'speechiness', 'acousticness',
'instrumentalness', 'liveness', 'valence'
]
return render_template('index.html',
username=username,
genres=genres,
stracks=stracks,
sartists=sartists,
mtracks=mtracks,
martists=martists,
ltracks=ltracks,
lartists=lartists,
prof_pic=prof_pic,
values=count,
labels=years,
legend=legend,
danceable=danceable,
averaged=averaged,
radar_labels=radar_labels,
plist_names=plist_names)
sentimentDesc = 'The Sentiment Analysis score of the current headlines is ' + str(sentiment) + '. This suggests their sentiment is positive.'
session['sDesc'] = sentimentDesc
if sentiment < negThresh:
sentimentDesc = 'The Sentiment Analysis score of the current headlines is ' + str(sentiment) + '. This suggests their sentiment is negative.'
session['sDesc'] = sentimentDesc
return render_template('index.html',page=header,news=True,titles=titles,info=titles[0],n=numArticles,sentimentDesc=sentimentDesc)
@app.route('/spotify/', methods=['POST'])
def spotify_login():
response = startup.getUser()
return redirect(response)
@app.route('/callback/')
def test():
startup.getUserToken(request.args['code'])
token = startup.getAccessToken()
token = token[0]
session['token'] = token
success = None
sentimentDesc = session['sDesc']
return render_template('index.html',authgranted=True,titles=True,sentimentDesc=sentimentDesc)
@app.route('/oppose/', methods = ['GET','POST'])
def opposeHeadlines():
token = session['token']
if token:
sp = spotipy.Spotify(auth=token)
user_data = sp.current_user()
dateTimeStr = datetime.strftime(datetime.now(), '%Y-%m-%d, %H:%M')
sentiment = analyseHeadlines(adjPos,adjNeg)
if sentiment >= posThresh: