My rasa core is 0.11.12 and NLU is 0.13.7. We tested at home (dynamic IP) with opened 15+ tabs connected to the bot server and interacted at the same time. We did not encounter any latency issue.
However, recently I have around 10-20 people connected to my bot at the same time. The server was on windows 10 home 64bit(CPU i7 8550, 256SSD) using chatroom. The server was connected internet using a real ethernet cable with a static IP address at my office. But the bot replied very slow. The users needed to wait 30-60sec in order to get a reply. Even worse, sometimes it went to fallback action after a long wait. Then, I tried to split half users to another server using MacAir 2018 with i5 cpu. The users got a bit faster reply from the bot when they connected to the MacAir server though.
I have 5 slots that will store in a txt file using user ID in my action.py, here I provide part of the code (I am not sure if it’s the reason caused the delay). However, even just a normal conversation, the users needed wait for a long time.
class ActionLogsave(Action): def name(self): return 'action_logsave' def run(self, dispatcher, tracker, domain): .... .... events_log = (tracker.current_state())["events"] indexFile_senderid = open('./user_logs/' + str(tracker.get_slot("slot_agree")) + '.txt', 'a+', encoding='utf-8') indexFile_senderid.write('This is the final log: ' + str('\n\n') + 'events: ' + str(events_log) + str('\n\n')) indexFile_senderid.close() return
Does anyone know how to solve this issue?