Hey, I know that using rasa_core.run it is possible to log events to a file. Is the same possible when you let an agent handle messages, like Slack, Facebook, etc, or is it not due to data protection? agent.handle_channels ( input_channel, port, serve_forever= True has no option to specify a log. I also do not really understand how logging is performed in debug mode using the command line, so if some understands it in more detail, I would be happy about clarifications:) Cheers, Henry

I asked yesterday on RASA Summit. I should work using a Tracker Store, which is implementend in rasa_core.tracker_store.py . Searching for MongoDB I found a related topic: How to save bot conversation on mongodb?

If you have MongoDB or Redis installed as key-value stores, the tracker (composed of events as Bot Actions or User Inputs) is saved to the database. After using you bot, you can then extract an Dialog instance and get the lists of events which you then have to parse. from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import logging import rasa_core from rasa_core.agent import Agent from rasa_core.policies.keras_policy import KerasPolicy from rasa_core.policies.memoization import MemoizationPolicy from rasa_core.interpreter import RasaNLUInterpreter from rasa_core.domain import Domain from rasa_core.utils import EndpointConfig from rasa_core.run import serve_application from rasa_core.tracker_store import RedisTrackerStore from rasa_core.tracker_store import MongoTrackerStore logger = logging.getLogger(__name__) domain = Domain.load('domain.yml') # db = RedisTrackerStore(domain, # host='localhost', # port=6379, db=0, password=None, # event_broker=None, # record_exp=None ) db = MongoTrackerStore( domain, host='mongodb://localhost:27017', db='rasa', username=None, password=None, collection='conversations', event_broker=None) def train_dialogue(domain = 'domain.yml', model_path = './models/dialogue', training_data_file = './data/stories.md'): """Train a model""" nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/') action_endpoint = EndpointConfig(url="http://localhost:5055/webhook") agent = Agent( domain = domain, policies = [MemoizationPolicy(), KerasPolicy()], interpreter=nlu_interpreter, generator=None, tracker_store=db, action_endpoint=action_endpoint, fingerprint=None) data = agent.load_data(training_data_file) agent.train( data, epochs = 100, batch_size = 25, validation_split = 0.2 ) agent.persist(model_path) return agent if __name__ == '__main__': agent = train_dialogue() rasa_core.run.serve_application(agent , channel='cmdline') #extract list of events and print its names events = db.retrieve("default").as_dialogue().events for event in events: print(event.as_story_string()) This then yields something like action_listen inform{"location": "home"} slot{"location": "home"} action_weather None action_listen deny utter_goodbye None action_listen restart where None is generated from Utter (BotUttered) Actions. This list could be parsed into a story by some rules. Unfortunately, and I would appreciate hints on that, this approach saves all conversations to one _id in MongoDB - and that even…

you can create two collections, one which you remove once the conversation is over and copy the tracker to another one for persisted storage. in redis, you do that with record_exp flag. Though i am not how that would affect your conversation unless they are really small. however you should also reset all slots at the end of the conversation or at the end where you have performed the final action

Okay thanks, I have a look at redis. action_restart does set all slots to none?! (I have it included and will add it to my extract!)

Hi souvik, I wanted to know if all the conversations from different users will also be stored in the mongo tracker store?

Hi, Sorry i don’t receive any notification unless i am tagged. :smiley: anyway, yes all conversations from different users(different sender-id) will be stored in mongo tracker store as a tracker object https://rasa.com/docs/core/server/ Check the endpoint GET /conversations/ ( str: sender_id ) /tracker

rasa_core.run.serve_application(agent , channel='cmdline') how change the channel from ‘cmdline’ to "rest"

Logging a Bot

Rasa Open Source

enryh (Henry) October 26, 2018, 3:08pm 5

Okay thanks, I have a look at redis.

action_restart does set all slots to none?! (I have it included and will add it to my extract!)

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Logging a Bot

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