Hello everyone,
I’m pretty excited about the new Rasa X version. The installation is very easy and smooth, however I seem to have a problem to train anything on it and I’m looking for your insights.
I made a clean install of Ubunutu 20.04 Desktop I am running as a VM.
I installed Rasa Open Source locally with Python and here’s the information the command rasa --version is giving me.
Rasa Version : 2.8.21
Minimum Compatible Version: 2.8.9
Rasa SDK Version : 2.8.3
Rasa X Version : None
Python Version : 3.8.10
Operating System : Linux-5.11.0-44-generic-x86_64-with-glibc2.29
Python Path : /home/cio-rasa/rasa/venv/bin/python3
rasactl --version
rasactl version 0.5.0
rasactl status
Name: eager-blackburn
Status: Running
URL: http://eager-blackburn.rasactl.localhost
Version: 1.0.0
Enterprise: inactive
Rasa production version: 0.0.0
Rasa worker version: 0.0.0
Project path: not defined
I did use rasactl connect rasa in a different terminal and it gives me this
(production-worker) 2022-01-09 11:49:02 INFO root - Starting Rasa server on http://localhost:5005
(production-worker) 2022-01-09 11:49:02 INFO rasa.core.brokers.pika - Connecting to RabbitMQ ...
(production-worker) 2022-01-09 11:49:02 INFO rasa.core.brokers.pika - RabbitMQ connection to '127.0.0.1' was established.
(production-worker) 2022-01-09 11:49:02 INFO root - Rasa server is up and running.
When I try to train a model Rasa X tells me it failed and rasactl logs gives me the following error
[2022-01-09 16:50:02 +0000] - (sanic.access)[INFO][10.244.0.8:54496]: GET http://eager-blackburn.rasactl.localhost/api/projects/default/models/tags/production?token=rasaXToken 404 159
ERROR:rasax.community.services.stack_service:Cannot connect to host gateway.docker.internal:5005 ssl:default [Name or service not known]
Encountered an exception while training. Please check the logs of the rasa worker container for more information.
I’m a bit confused as I understood the docker install was deprecated. Anyone can shed some lights here?