Hi, I was wondering if it’s possible to “pause” the story to go to another story and then go back where you left in the other story (and asking the question where you left off again). This sounds vague, so let me give an example: Right now, I have a bot who wants to guide the user, so it asks the user questions. However, the bot can also ask questions. Whenever the user asks a question, the bot should respond but then go back to where it left off (ask the question again) and continue asking guiding questions. Example conversation: Bot: Hi, I would like to know your nationality for further guidance. Are you a dutch student or an international student? User: I am dutch Bot: Cool! And when are you planning on starting the study? User: This year. etc. During this conversation, the user can ask a question. Example: Bot: Hi, I would like to know your nationality for further guidance. Are you a dutch student or an international student? User: How do I enroll for the study? Bot: You can enroll by … Bot: Are you a dutch student or an international student? User: I am dutch Bot: Cool! And when are you planning on starting the study? User: This year. etc. Does anybody know if this is possible?

[image] How to create a partially rule-based conversation within a chat dialogue Rasa Open Source Hey @Remy! Sorry, that was a miscommunication, you’re totally right, you shouldn’t have to add it to your stories. However this ties into what I mentioned – in order to have it not affect your stories, the action has to return UserUtteranceReverted(). We’re working on making this super easy and intuitive, but in the meantime there is a workaround if you just want to trigger a bot utterance: The ideal way to do this would be to create a custom action that you map to: e.g. - greet: triggers…

Thanks for your reply, I will take a look at this tomorrow!

It does answer an FAQ when asked, but it also continues the story… For the example story it now looks like: Bot: Hi, I would like to know your nationality for further guidance. Are you a dutch student or an international student? User: How do I enroll for the study? Bot: You can enroll by … Bot: Cool! And when are you planning on starting the study? User: This year. etc. Thus, the bot pretends the question was also an answer to the question whether the person is international or dutch… EDIT: I added the FAQ’s to the story line (just one intent which is the question and one utter which is the answer), and now it does not pretend it’s an answer to the bot’s question, but it seems to stop the story. Example: Bot: Hi, I would like to know your nationality for further guidance. Are you a dutch student or an international student? User: How do I enroll for the study? Bot: You can enroll by … User: I am dutch Bot: I am sorry, I do not understand you [utter_default]

[image] Nikki: EDIT: I added the FAQ’s to the story line Don’t do that. MappingPolicy ALWAYS maps that ‘how do I enroll’ intent to the answer ‘you can enroll by…’. It’ll just confuse the chatbot if you train stories containing your mapped intents within them. So write your stories as you think they would happen without small talk and the mappingpolicy will handle the small talk for you.

Ah thanks. I just tried it to see what would happen because when I don’t have them in my stories, it still doesn’t work as expected. It’s the same thing as before though: [image] Nikki: Bot: Hi, I would like to know your nationality for further guidance. Are you a dutch student or an international student? User: How do I enroll for the study? Bot: You can enroll by … User: I am dutch Bot: I am sorry, I do not understand you [utter_default] But more weird things happen… so it always gives an answer to the FAQ, but then it either: thinks the FAQ was also an answer to the bot’s question, so it continues the story one step too far it waits for a response to its question, but when I answer it says it does not understand me it waits for a response to its question and continues the story according to that answer, exactly what i want! And these three things happen at random during the conversation. How is it possible that it sometimes works and sometimes doesn’t? I am using checkpoints btw. Can that mess it up?

Okay, so first of all, as a general note: Did you retrain the model without the ‘FAQ’ stories? second: [image] Nikki: thinks the FAQ was also an answer to the bot’s question, so it continues the story one step too far can you post a screenshot of your log file where this case is handled? [image] Nikki: it waits for a response to its question, but when I answer it says it does not understand me same as above [image] Nikki: it waits for a response to its question and continues the story according to that answer, exactly what i want! same as above, this should be the intended behaviour. [image] Nikki: How is it possible that it sometimes works and sometimes doesn’t? It’s never random :wink: You’ll have to double-check your stories I’d guess [image] Nikki: I am using checkpoints btw. Can that mess it up? It shouldn’t. As long as MappingPolicy handles the question, the conversation state gets reverted to before the answer. It should behave as if the ‘small talk’ never occurred. So in summation: Please post screenshots of your bot handling these wrong cases!

I did retrain the model. I do after every small edit. Please note that the GUI still needs to be fixed: it puts two utters in one message. In the first picture you can see this as after the link it says “Another thing to look at in yourself is…”, which is a new utter, thus assuming “how do i enroll” was an answer to the question. [image] Nikki: thinks the FAQ was also an answer to the bot’s question, so it continues the story one step too far [FAQ_is_answer] [image] Nikki: it waits for a response to its question, but when I answer it says it does not understand me And [image] Nikki: it waits for a response to its question and continues the story according to that answer, exactly what i want! [not_understanding_after_faq] And this is to show how the flow should behave without asking an FAQ: [good_flow] And thanks for wanting to help me :slight_smile: Edit It even seems to have a different behavior everytime I retrain… (again, the GUI is not correct yet, but you can see two utters in one message here) [Knipsel]

Hi Nikki, thanks for the screenshots, that clears things up regarding the actual flow. However, I might not have been clear enough about booting the log files. Could you open up a terminal (command prompt) and use the command: python -m rasa_core.run -d MAPWHEREYOURCOREMODELIS -u MAPWHEREYOURNLUMODELIS --debug obviously replace the capitalized letters with your maps. Alternatively, you can search for a file called rasa_core.log to open up the log itself. This is more tedious however. With this command you can troubleshoot what is going wrong. You can send screenshots of that, or upload the log file if you need help.

Ah, sorry. Here is the log file: output.txt (25.9 KB) It says “Feature ‘entity_student_nationality’ (value: ‘1.0’) could not be found in feature map. Make sure you added all intents and entities to the domain”. All my slots are an entity, or is that not what it means? I have an entity called ‘student_nationality’, but what is the ‘feature map’?

Alright, when I look at this, 2 things stand out: After using MappingPolicy (which it does correctly) it switches over to KerasPolicy. It should go to Memoization. What is your Max_History setting like? It should be about 10 for your purposes I think. You can also try using AugmentedMemoizationPolicy as it stitches together more different usecases. You can set the Augmentation factor in your training config. The Feature map is what Rasa uses to set slots in accordance to the stories it trains on. Have you set the entity ‘student_nationality’ to unfeaturized? This makes it so it won’t be set in the feature map. If you want your users to put in any country that matches a real country, consider using ‘text’ as the slot type.

Pause story and continue where you left off

Rasa Open Source

Remy (Remy Reurling) May 16, 2019, 2:44pm 2

Use MappingPolicy for this.

Topic		Replies	Views
Conversation Pause and starts where we left off Rasa Open Source	10	1450	October 2, 2019
Mapping Policy confused Keras Policy Rasa Open Source	8	1089	July 11, 2019
Never go a step-back in Checkpoints and change the utter_default Rasa Open Source	9	1019	October 25, 2018
Rasa Core - Context switching between conversations Rasa Open Source	3	1700	December 21, 2020
Handle Small talk in the middle of a flow Rasa Open Source	7	2225	May 20, 2019

Pause story and continue where you left off

Related topics