def click(): logger('button', 'click') sp_oauth = oauth2.SpotifyOAuth(CLIENT_ID, CLIENT_SECRET, REDIRECT_URI, scope=SCOPE) return redirect(sp_oauth.get_authorize_url())
def authorization(): response = request.url username = authorize(response) logger(username, 'attempt') spotify_object = initializer(username) audio_tracks_get(spotify_object) logger(username, 'success') return render_template('authorized.html')
def train_model(data_path, train_data, test_data, cutoff, test_cutoff, dest, batch_size, epochs, GPU): train_loader = load_database(data_path, train_data, cutoff, batch_size, GPU) print("{} samples in train data".format(len(train_loader.dataset.X_train))) test_loader = load_database(data_path, test_data, cutoff, batch_size, GPU, True) print("{} samples in test data".format(len(test_loader.dataset.X_train))) hidden_size = 128 if GPU: dtype = torch.cuda.FloatTensor else: dtype = torch.FloatTensor ratio = sum(train_loader.dataset.y_train) / len( train_loader.dataset.y_train) weights = torch.FloatTensor([ratio, 1 - ratio]).type(dtype) model = DualComplex(batch_size, hidden_size, 2, True) model.type(dtype) loss = nn.CrossEntropyLoss(weights) optimizer = Adam(model.parameters(), lr=0.001, amsgrad=True) scheduler = StepLR(optimizer, 11, gamma=0.1) test_keys = ["test_data"] log = logger(["loss", "AUC", "P-R", "acc"], False, test_keys) model.fit(train_loader, valid_loaders=[test_loader], valid_keys=test_keys, scheduler=scheduler, epochs=epochs, loss=loss, optimizer=optimizer, log=log, dest=dest, HYBRID=True, GPU=GPU)
def authorization(): response = request.url username = authorize(response) usernames = pandas.read_csv('usernames.csv') logger(username, 'attempt') spotify_object = initializer(username) history(username, spotify_object) if username in list(usernames['username']): remover(username) discovery(username, spotify_object) follower(username, spotify_object) playlist(username) else: toptracksartists(username, spotify_object) discovery(username, spotify_object) releaser(username, spotify_object) follower(username, spotify_object) playlist(username) includer(username) logger(username, 'success') return render_template('success.html')
"""This script runs daily.""" import pandas from spotipy.client import SpotifyException from functions import initializer, history, remover, toptracksartists from functions import discovery, releaser, playlist, excluder, logger for user in pandas.read_csv('usernames.csv')['username']: try: spotifyobject = initializer(user) history(user, spotifyobject) remover(user) toptracksartists(user, spotifyobject) discovery(user, spotifyobject) releaser(user, spotifyobject) playlist(user) logger(user, 'daily') except SpotifyException: excluder(user) logger(user, 'remove')