Tutorial-knowledge-base in rasa 2.0

Getting Started with Rasa Tutorials, Resources & Videos
1

Hi everyone,

I am trying to migrate the following tutorial to 2.0: GitHub - RasaHQ/tutorial-knowledge-base: Integrating Rasa with a knowledge base to encode domain knowledge and resolve entities using the following instructions: Migrating your Rasa 1.x assistant to Rasa 2.0 .

However, I have problems at this step: ``` rasa data convert config

Migrating the 'FallbackPolicy'.
Traceback (most recent call last):
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/bin/rasa", line 8, in <module>
    sys.exit(main())
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/__main__.py", line 116, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/cli/data.py", line 428, in _migrate_model_config
    model_configuration
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/core/config.py", line 81, in migrate_fallback_policies
    _update_fallback_config(new_config, fallback_config)
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/core/config.py", line 135, in _update_fallback_config
    FallbackClassifier.__name__, config.get("pipeline", [])
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/core/config.py", line 103, in _get_config_for_name
    (config for config in config_part if config.get("name") == component_name), {}
  File "/home/vijay/Documents/tutorial-knowledge-base-master/venv/lib/python3.7/site-packages/rasa/core/config.py", line 103, in <genexpr>
    (config for config in config_part if config.get("name") == component_name), {}
AttributeError: 'str' object has no attribute 'get'

I think it doesn't like the config for the FallbackPolicy:

language: en
pipeline: supervised_embeddings

policies:
- batch_size: 50
  epochs: 200
  max_training_samples: 300
  name: KerasPolicy
- fallback_action_name: action_default_fallback
  name: FallbackPolicy
- max_history: 5
  name: MemoizationPolicy
- name: MappingPolicy

Is there something that I can do to the config before migrating it? Or does someone have a newer version of this tutorial? :slight_smile:  

Thanks!