Parentheses in title in button wrongly interpreted

Rasa Open Source Feedback on Rasa Open Source
1

I have this kind of structure:

  utter_introduce:
  - text: 'How can I help'
    buttons:
    - title: 'text **(SMS)** '
      payload: '/send_sms'

what is between parenthesis in wrongly interpreted, it is sent as the payload , it is the exact same issue as this one https://github.com/RasaHQ/rasa/issues/6664

@Tobias_Wochinger can you help me understand please ? why we can’t add parentheses in the title Thank you in advance

1 Like
2

@AminaDerouiche Can you please provide your rasa --version for our reference?

3

@nik202 here you go

  • Rasa Version : 2.8.12
  • Minimum Compatible Version: 2.8.9
  • Rasa SDK Version : 2.8.2
  • Rasa X Version : None
  • Python Version : 3.8.2
4

@AminaDerouiche Honeslty, I never had encountered such scenario but I will try and get back to you as soon as I will get some time. Meanwhile, please try rasa interactive and see what is going on behind.

5

@nik202 yes me neither never encountered this

There is an issue including this " rasa.nlu.utils.bilou_utils"

I will keep digging and keep you posted Thanks :slight_smile:

6

@AminaDerouiche do you have specific pipeline? if yes can you please share for my reference?

7

Here is my confg file @nik202

# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: fr

pipeline:
# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
# # If you'd like to customize it, uncomment and adjust the pipeline.
# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
  - name: "SpacyNLP"
    model: "fr_core_news_md"
    case_sensitive: false
  - name: "SpacyTokenizer" # Tokenizer that understands French to seperate sentences with the ' (d'application)
  - name: RegexFeaturizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 5
  - name: DIETClassifier
    epochs: 100
    constrain_similarities: true
  - name: EntitySynonymMapper
  - name: FallbackClassifier
    threshold: 0.3
    ambiguity_threshold: 0.1

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
# # See https://rasa.com/docs/rasa/policies for more information.
  - name: MemoizationPolicy
  - name: RulePolicy
  - name: TEDPolicy
    epochs: 200```
8

This is also an issue in Version 3.3.0. I use the default config in language “de”

It seems like the known Bug in Rasa Jira here: https://rasa-open-source.atlassian.net/browse/OSS-486 Unfortunatly i can not update this ticket.