def startup(self):
"""Initializes the MailService and creates the cache for
suppported protocols POP, SMTP, IMAP"""
if self._started:
raise MailException("MailService is currently started")
self._clientInstances = {"SMTP": {}, "IMAP": {}, "POP": {}}
# The MailWorker will create its own view
self._mailWorker = MailWorker("MailWorker Thread", self._view.repository)
#Start the mail worker thread
self._mailWorker.start()
self._started = True
if not schema.ns('osaf.app', self._view).prefs.isOnline:
self.takeOffline()
config.read('config.ini')
if __name__ == "__main__":
df = pd.read_csv(config['DATA']['recent_labeled_file'],
sep=';',
index_col=False)
print(df.shape)
df.fillna(0, inplace=True)
answered = np.asarray(df.Answered)[:, None]
uids = np.asarray(df.UID)[:, None]
print(uids)
df.drop('Answered', axis=1, inplace=True)
df_features = df.to_dict(orient='records')
vec = pickle.load(open('vectorizer.p', 'rb'))
features = vec.transform(df_features).toarray()
#print(labels_test)
clf = pickle.load(open('model.p', 'rb'))
#look what it actually predicts
predictions = clf.predict_proba(features)
#np.append(predictions, labels_test)
print(predictions.shape)
predictions_with_uid = np.hstack((predictions, answered, uids))
print(predictions_with_uid)
mw = MailWorker()
for prediction in predictions_with_uid:
if prediction[0] < 0.9:
print(prediction[3])
mw.storeflag(str(int(prediction[3])))
