I followed this link to deploy my rasa assistant with rasa x on Kubernetes. Kubernetes cluster is setup, rasa-x is deployed and I’ve connected my assistant with rasa-x with Integrated version control. The following are the concerns I have now:
- I couldn’t train a new model on the deployed Rasa-X. Even I’m unable to upload a model file with file upload button. After uploading the file for a long time, getting, ‘Something went wrong’ message. The below is the log from rasa-x pod:
ubuntu@ip-10-0-0-132:~$ kubectl logs rasa-rasa-x-679d8677d-mbcgj
INFO:alembic.runtime.migration:Context impl PostgresqlImpl.
INFO:alembic.runtime.migration:Will assume transactional DDL.
Starting Rasa X server… 
/usr/local/lib/python3.7/site-packages/rasax/community/services/test_service.py:43: UserWarning: Unable to get tests from /app/git/1/tests/conversation_tests.md:
File ‘/app/git/1/tests/conversation_tests.md’ does not exist. Please, make sure you have end-to-end tests added to your assistant. See https://rasa.com/docs/rasa/user-guide/testing-your-assistant/ for more information.
UserWarning,
ubuntu@ip-10-0-0-132:~$
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I’m using mongo db as a tracker store for rasa. I’ve configured it in endpoints.yml in my project. But how do I setup Mongo in kubernetes cluster?
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I have an additional custom component in my pipeline. I’ve created a new image, extending the rasa/rasa image with additional dependencies for that component. Is this the right approach?
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Finally, I want to add a custom connector for my bot. How can I configure it in the cluster, as I can see only configs for existing channels like Facebook, Twilio, etc.