def post():
data = request.get_data().decode('utf-8')
data = dict(parse_qsl(data))
# change on code below if python agent + json
# data = request.get_json()
with open('/home/antispam/agents/ProcessorAgent/Output.txt', 'w') as f:
f.write(json.dumps(data))
email_addr = data['email']
letter = data['letter']
if (len(letter) != 0):
cl = Classificator(email_addr)
prep_text = Classificator.prepare_data([letter])[0]
result, score = cl.predict(prep_text)
else:
result, score = "NO", 0
# code if you need to return letter with headers
#msg = Classificator.json_to_dict(', '.join(letter))
#response = [letter[0]] + ['AntiSpam-Result: ' + result + '\n', 'AntiSpam-score: ' + str(score) + '\n'] + letter[1:]
response = {}
response['result'] = result
response['score'] = score
# return jsonify({'result': msg.as_bytes()})
return jsonify(response)
def post():
data = request.get_json()
email = data['email']
inbox = data['inbox']
spam = data['spam']
inbox_prep = Classificator.prepare_data(inbox)
spam_prep = Classificator.prepare_data(spam)
y_inbox = [-1 for el in inbox_prep]
y_spam = [1 for el in spam_prep]
X = inbox_prep + spam_prep
y = y_inbox + y_spam
cl = Classificator(email)
cl.fit(X, y)
return jsonify({})
