Rasa: Rasa 1.0 ImportError: cannot import name 'EndpointConfig' from 'rasa_core.utils'

[karthikbalu]

Rasa version:
rasa 1.0.1

Python version:
Python 3.7.3

Operating system (windows, osx, ...):
OSX

Issue:
ImportError: cannot import name 'EndpointConfig' from 'rasa_core.utils'

After upgrading to rasa version 1.0,
How can we train using python agent

from rasa_core.utils import EndpointConfig
core_endpoint_config = EndpointConfig(url='http://localhost:5055/webhook')

agent = Agent(domain_file, policies=[MemoizationPolicy(), KerasPolicy(), fallback], action_endpoint = core_endpoint_config, interpreter=interpreter)
#agent = Agent.load(current_project_path+"/models")`

Content of configuration file (config.yml):

# Configuration for Rasa NLU.
# https://rasa.com/docs/rasa/nlu/components/
language: en
pipeline: supervised_embeddings

# Configuration for Rasa Core.
# https://rasa.com/docs/rasa/core/policies/
policies:
  - name: MemoizationPolicy
  - name: KerasPolicy
  - name: MappingPolicy

Content of domain file (domain.yml) (if used & relevant):

intents:
- greet
- goodbye
- thanks
- deny
- joke
- name


entities:
- name


slots:
  name:
    type: text


actions:
- utter_name
- utter_thanks
- utter_greet
- utter_goodbye
- action_joke
- utter_unclear

templates:
  utter_name:
  - text: "Hey there! Tell me your name."

  utter_greet:
  - text: "Nice to you meet you {name}. How can I help?"

  utter_goodbye:
  - text: "Talk to you later!"

  utter_thanks:
  - text: "My pleasure."

  utter_unclear:
  - text: "Sorry, I dont know"

[anoop2503]

@karthikbalu please try with
from rasa.utils.endpoints import EndpointConfig

[karthikbalu]

Solved that import endpointconfig error now

But cannot train the agent the same way like before upgrade

    training_data = agent.load_data("/data/stories.md")
    agent.train(training_data)

   agent.train(training_data)
  File "/usr/local/lib/python3.7/site-packages/rasa/core/agent.py", line 668, in train
    self.policy_ensemble.train(training_trackers, self.domain, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/rasa/core/policies/ensemble.py", line 89, in train
    policy.train(training_trackers, domain, **kwargs)
  File "/usr/local/lib/python3.7/site-packages/rasa/core/policies/memoization.py", line 152, in train
    for t in training_trackers
TypeError: 'coroutine' object is not iterable
sys:1: RuntimeWarning: coroutine 'Agent.load_data' was never awaited

[tabergma]

You need to wait for the coroutine to finish.

training_data = await agent.load_data("/data/stories.md")
agent.train(training_data)

[karthikbalu]

now im getting this error
training_data = await agent.load_data("/data/stories.md")
^
SyntaxError: 'await' outside async function

so i added async to my traindialogue function and now im getting

RuntimeWarning: coroutine 'train_dialogue' was never awaited
bot.train_dialogue(project)
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

Please help, Thanks

[karthikbalu]

I went past that hurdle using async and await syntax

but now this is not working

asyncio.run(serve_application(agent,channel='cmdline'))

was never awaited
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

[l2009312042]

have any update？ i have the same question

[tabergma]

What python version are you using? asyncio.run is only supported in 3.7. If you are using python 3.6 you need to use

    loop = asyncio.get_event_loop()
    result = loop.run_until_complete(<async method>)

link to documentation: https://docs.python.org/3.6/library/asyncio.html

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