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')