Hi, Need a suggestion/direction/snippet to deserialize the dialogue object which is stored in redis using RedisTrackStore. Screen Shot: [Capture] The rasa-core documentation provided only the library needs to be used but no guidence like how to use that library. [Capture]

If Im reading your screenshot correctly, you successfully unpickled your object. <rasa_core.conversation.Dialogue object ...> means you have a Dialogue object now. RasaHQ/rasa_core/blob/master/rasa_core/conversation.py#L14 from __future__ import unicode_literals import typing from typing import List from typing import Text if typing.TYPE_CHECKING: from rasa_core.events import Event class Dialogue(object): """A dialogue comprises a list of Turn objects""" def __init__(self, name, events): # type: (Text, List[Event]) -> None # This function initialises the dialogue with # the dialogue name and the event list. self.name = name self.events = events

Yes … I have serialized Dialogue object i want to deserialize it like i want get/print the exact/samilar kind json ( referring the second screen shot from my initial question)… [Capture] That’s the only thing is pending…

Finally I was able to print all the events and other details… below screen shot [Capture] But looking how can i able to print as JSON format. any suggestions???

able to get the complete JSON … Thanks for all your help … { “py/object”: “rasa_core.conversation.Dialogue”, “events”: [{ “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “action_listen”, “timestamp”: 1533325206.6908798, “unpredictable”: false }, { “py/object”: “rasa_core.events.UserUttered”, “entities”: [], “intent”: { “confidence”: 0.979422926902771, “name”: “greet” }, “parse_data”: { “entities”: [], “intent”: { “confidence”: 0.979422926902771, “name”: “greet” }, “intent_ranking”: [{ “confidence”: 0.979422926902771, “name”: “greet” }, { “confidence”: 0.0866081640124321, “name”: “bye” }, { “confidence”: 0.07435746490955353, “name”: “applicationnumber” }, { “confidence”: -0.3126333951950073, “name”: “query” }], “model”: “model_20180731-154336”, “project”: “SSPAGENT”, “text”: “Hi” }, “text”: “Hi”, “timestamp”: 1533325206.7008827 }, { “py/object”: “rasa_ core.events.ActionExecuted”, “action_name”: “utter_greet”, “timestamp”: 1533325206.7308917, “unpredictable”: false }, { “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “action_listen”, “timestamp”: 1533325206.731892, “unpredictable”: false }, { “py/object”: “rasa_core.events.UserUttered”, “entities”: [], “intent”: { “confidence”: 0.979422926902771, “name”: “greet” }, “parse_data”: { “entities”: [], “intent”: { “confidence”: 0.979422926902771, “name”: “greet” }, “intent_ranking”: [{ “confidence”: 0.979422926902771, “name”: “greet” }, { “confidence”: 0.0866081640124321, “name”: “bye” }, { “confidence”: 0.07435746490955353, “name”: “applicationnumber” }, { “confidence”: -0.3126333951950073, “name”: “query” }], “model”: “model_20180731-154336”, “project”: “SSPAGENT”, “text”: “Hi” }, “text”: “Hi”, “timestamp”: 1533325681.9921334 }, { “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “utter_greet”, “timestamp”: 1533325682.0221362, “unpredictable”: false }, { “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “action_listen”, “timestamp”: 1533325682.0231366, “unpredictable”: false }, { “py/object”: “rasa_core.events.UserUttered”, “entities”: [], “intent”: { “confidence”: 0.9448853135108948, “name”: “query” }, “parse_data”: { “entities”: [], “intent”: { “confidence”: 0.9448853135108948, “name”: “query” }, “intent_ranking”: [{ “confidence”: 0.9448853135108948, “name”: “query” }, { “confidence”: 0.16341754794120789, “name”: “bye” }, { “confidence”: -0.01112104207277298, “name”: “applicationnumber” }, { “confidence”: -0.3702131509780884, “name”: “greet” }], “model”: “model_20180731 -154336”, “project”: “SSPAGENT”, “text”: “app status” }, “text”: “app status”, “timestamp”: 1533325704.1693509 }, { “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “utter_query”, “timestamp”: 1533325704.1963534, “unpredictable”: false }, { “py/object”: “rasa_core.events.ActionExecuted”, “action_name”: “action_listen”, “timestamp”: 1533325704.1973534, “unpredictable”: false }], “name”: { “py/object”: “rasa_core.conversation.Dialogue”, “events”: [{ “py/object”: “ra…

[image] [Solved]Retrieving conversation from Mongotrackerstore/Redistrackerstore and continuing with the previous conversation Rasa Open Source I have saved user bot conversations in mongotrackerstore which is saving the user-bot conversation. suppose the user logs off and starts the conversation after some time with different device(say phone). Is there any way to get the past conversations and continue our next conversation as based on the previous ones. I have tried a method from rasa_core.trackers import DialogueStateTracker tracker1=DialogueStateTracker(sender_id,domain.slots) events=db.retrieve(sender_id).as_dialogue().event fo…

Hi @sridhar-v9 , I am a RASA newbie. I am trying to store conversation in Redis, exactly what you are showing here. Could you please share some of your codes as a sample for me to look at? I am using RASA version 0.11.12. Thank you.

import redis import json from rasa_core.conversation import Dialogue r = redis.StrictRedis(host='localhost', port=6379, db=0) for key in r.scan_iter(): print(key) d = str(r.get('x')) import six.moves.cPickle as pickler sample = Dialogue(pickler.loads(r.get('x')),pickler.loads(r.get('x')).events) print(sample)

Deserialise redis Dailogue Object

Rasa Open Source

ashukrishna100 (Ashukrishna100) November 29, 2018, 10:06am 6

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Deserialise redis Dailogue Object

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