def reply(chat_id):
chat = Chat.query.filter_by(id=chat_id).first_or_404()
request_text = request.form['msg']
request_msg = Message(chat_id=chat_id,
text=request_text,
author=Message.AUTHOR_USER,
order=chat.messages_count + 1)
if app.config['NEURAL_LOGIC']:
from app import sess, model, enc_vocab, rev_dec_vocab
response_text = execute.decode_line(sess, model, enc_vocab,
rev_dec_vocab, request_text)
else:
response_text = request.form['msg']
response_msg = Message(chat_id=chat_id,
text=response_text,
author=Message.AUTHOR_BOT,
order=chat.messages_count + 2)
for word in basic_tokenizer(request_text.encode()):
db.session.add(UserWord(word=word))
for word in basic_tokenizer(response_text.encode()):
db.session.add(BotWord(word=word))
chat.messages_count = chat.messages_count + 2
db.session.add(request_msg)
db.session.add(response_msg)
db.session.commit()
return jsonify(response_msg.as_dict())
def LoadMyEntry(ChatLog, EntryText,sess, model, enc_vocab, rev_dec_vocab):
s = execute.decode_line(sess, model, enc_vocab, rev_dec_vocab, EntryText)
if EntryText != '':
ChatLog.config(state=NORMAL)
if ChatLog.index('end') != None:
LineNumber = float(ChatLog.index('end')) - 1.0
ChatLog.insert(END, "You: " + EntryText)
ChatLog.tag_add("You", LineNumber, LineNumber + 0.4)
ChatLog.tag_config("You", foreground="#FF3300", font=("Arial", 12, "bold"))
ChatLog.config(state=DISABLED)
ChatLog.yview(END)
LoadJkEntry(ChatLog, s)
def reply():
req_msg = request.form['msg']
req_msg = " ".join(jieba.cut(req_msg))
print('***********', req_msg, '***********')
res_msg = execute.decode_line(sess, model, enc_vocab, rev_dec_vocab,
req_msg)
res_msg = res_msg.replace('__UNK__', '!')
res_msg = res_msg.strip()
# 如果接受到的内容为空，则给出相应的回复
if res_msg == ' ':
res_msg = '请与我聊聊天吧'
return jsonify({'text': res_msg})
def webhook():
# endpoint for processing incoming messaging events
data = request.get_json()
#log(data) # you may not want to log every incoming message in production, but it's good for testing
if data["object"] == "page":
for entry in data["entry"]:
for messaging_event in entry["messaging"]:
if messaging_event.get("message"): # someone sent us a message
sender_id = messaging_event["sender"][
"id"] # the facebook ID of the person sending you the message
recipient_id = messaging_event["recipient"][
"id"] # the recipient's ID, which should be your page's facebook ID
message_text = messaging_event["message"][
"text"] # the message's text
# Respond by decoding message_text
send_message(
sender_id,
execute.decode_line(sess, model, enc_vocab,
rev_dec_vocab, message_text))
if messaging_event.get("delivery"): # delivery confirmation
pass
if messaging_event.get("optin"): # optin confirmation
pass
if messaging_event.get(
"postback"
): # user clicked/tapped "postback" button in earlier message
pass
return "ok", 200
def tf_reply(message):
message.reply(execute.decode_line(sess, model, enc_vocab, rev_dec_vocab, message.body['text']))
message.reply("test reply. You said %s" % message.body['text'])
def answer(message):
reply = normalize(execute.decode_line(sess, model, enc_vocab, rev_dec_vocab, message.text))
reply += ' ' + normalize(execute.decode_line(sess, model, enc_vocab, rev_dec_vocab, reply))
bot.send_message(message.chat.id, reply)