Custom action endpoint configuration failed

[ArcticLilacFox]

Rasa version: Rasa 1.10.10 Rasa SDK version (if used & relevant):

Rasa X version (if used & relevant):

Python version: Python 3.6.10 :: Anaconda, Inc. Operating system (windows, osx, ...): Windows 10 Home Issue: I tried to configure the endpoint for my custom action, but i am ultimately unsuccessful, no matter what i try. I had no problems during rasa train . I tried the --endpoint command, which did not help either. When I run rasa shell , I get the following error after triggering my custom action:

Error (including full traceback):

2020-08-15 10:37:41 ERROR    rasa.core.actions.action  - The model predicted the custom action 'action_get_db', but you didn't configure an endpoint to run this custom action. Please take a look at the docs and set an endpoint configuration via the --endpoints flag. https://rasa.com/docs/rasa/core/actions
2020-08-15 10:37:41 ERROR    rasa.core.processor  - Encountered an exception while running action 'action_get_db'. Bot will continue, but the actions events are lost. Please check the logs of your action server for more information.

Command or request that led to error:

rasa shell

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

intents:
  - greet
  - goodbye
  - affirm
  - deny
  - mood_great
  - mood_unhappy
  - bot_challenge
  - large_manufacturer
  - small_service

  actions:
    - action_get_db

responses:
  utter_greet:
  - text: "Greetings! This is Sheldon! I'm here to help to you with your ERP Lab interview training. To continue this session please choose a 'company-size' and 'company-type'. for example 'I choose a (company-size) (company-type) company'. Company sizes are small, medium and large. Company types are manufacturer, service and retail. Let's start!"

  utter_cheer_up:
  - text: "Here is something to cheer you up:"
    image: "https://i.imgur.com/nGF1K8f.jpg"

  utter_did_that_help:
  - text: "Did that help you?"

  utter_happy:
  - text: "Great, carry on!"

  utter_goodbye:
  - text: "Bye"

  utter_iamabot:
  - text: "I am a bot, powered by Rasa."

session_config:
  session_expiration_time: 60
  carry_over_slots_to_new_session: true

Content of endpoints file (endpoints.yml)

# This file contains the different endpoints your bot can use.

# Server where the models are pulled from.
# https://rasa.com/docs/rasa/user-guide/configuring-http-api/#fetching-models-from-a-server/

#models:
#  url: http://my-server.com/models/default_core@latest
#  wait_time_between_pulls:  10   # [optional](default: 100)

# Server which runs your custom actions.
# https://rasa.com/docs/rasa/core/actions/#custom-actions/

#action_endpoint:
#  url: "http://localhost:5055/webhook"

# Tracker store which is used to store the conversations.
# By default the conversations are stored in memory.
# https://rasa.com/docs/rasa/api/tracker-stores/

#tracker_store:
#    type: redis
#    url: <host of the redis instance, e.g. localhost>
#    port: <port of your redis instance, usually 6379>
#    db: <number of your database within redis, e.g. 0>
#    password: <password used for authentication>
#    use_ssl: <whether or not the communication is encrypted, default false>

#tracker_store:
#    type: mongod
#    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
#    db: <name of the db within your mongo instance, e.g. rasa>
#    username: <username used for authentication>
#    password: <password used for authentication>

# Event broker which all conversation events should be streamed to.
# https://rasa.com/docs/rasa/api/event-brokers/

#event_broker:
#  url: localhost
#  username: username
#  password: password
#  queue: queue

action_endpoint:   
  url: "http://localhost:5055/webhook"

Content of actions file (actions.py)

# This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/core/actions/#custom-actions/

# This is a simple example for a custom action which utters "Hello World!"

 from typing import Any, Text, Dict, List

 from rasa_sdk import Action, Tracker
 from rasa_sdk.executor import CollectingDispatcher
#
#class ActionHelloWorld(Action):

#     def name(self) -> Text:
#         return "action_hello_world"
#
#     def run(self, dispatcher: CollectingDispatcher,
#             tracker: Tracker,
#             domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
#
#         dispatcher.utter_message(text="Hello World!")
#
#         return []

 class ActionGetDb(Action):

     def name(self) -> Text:
         return "action_get_db"

     def run(self, dispatcher: CollectingDispatcher,
             tracker: Tracker,
             domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:

             response = requests.get("https://github.com/ArcticLilacFox/companies/blob/master/db.json").json()

        entities = tracker.latest_message['entities']
         print("Your selection is ", entities)
         state = None
         for e in entities:

             if e['entity'] == "companysize" and "companytype":
                state = e['value']

         dispatcher.utter_message(text="Hello World!")

         return []

Content of nlu file (nlu.md)

## intent:greet
- hey
- hello
- hi
- good morning
- good evening
- hey there

## intent:goodbye
- bye
- goodbye
- see you around
- see you later

## intent:bot_challenge
- are you a bot?
- are you a human?
- am I talking to a bot?
- am I talking to a human?

## intent:large_manufacturer
- I choose a [large](companysize) [manufacturer](companytype) company.
- I choose a [large](companysize) [manufacturer](companytype)
- I choose a [large](companysize) [manufacturing](companysize) company
- I choose [large](companysize) [manufacturer](companytype)
- I choose a [big](companysize) [manufacturer](companytype) company
- I choose a [large](companysize) [manufacture](companytype) company
- [large](companysize) [manufacturer](companytype)
- I choose a [big](companysize) [manufacturing](companytype) company
- I choose a [huge](companysize) [manufacturing](companytype) company.
- I choose [huge](companysize) [manufacturing](companytype)

## intent:small_service
- I choose a [small](companysize) [service](companytype) company.
- I choose a [small](companysize) [service](companytype)
- I choose a [small](companysize)[service](companytype)type company
- I choose a [tiny](companysize) [service](companytype) company.
- [small](companysize)[service](companytype)
- I choose a [tiny](companysize) [servicing](companytype) company
- I choose a [mini](companysize) [service](companytype) company
- I choose [mini](companysize) [service](companytype)
- I choose [mini](companysize) [service type](companytype)

[sara-tagger]

Thanks for the issue, @amn41 will get back to you about it soon!

You may find help in the docs and the forum, too 🤗

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