Configuring rasa database

actions/actions.py

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+# 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/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 []

config.yml

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+# The config recipe.
+# https://rasa.com/docs/rasa/model-configuration/
+recipe: default.v1
+
+# The assistant project unique identifier
+# This default value must be replaced with a unique assistant name within your deployment
+assistant_id: 20260414-120228-frosty-HUD
+
+# Configuration for Rasa NLU.
+# https://rasa.com/docs/rasa/nlu/components/
+language: en
+
+pipeline: null
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - name: RegexFeaturizer
+#   - name: LexicalSyntacticFeaturizer
+#   - name: CountVectorsFeaturizer
+#   - name: CountVectorsFeaturizer
+#     analyzer: char_wb
+#     min_ngram: 1
+#     max_ngram: 4
+#   - name: DIETClassifier
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
+
+# Configuration for Rasa Core.
+# https://rasa.com/docs/rasa/core/policies/
+policies: null
+# # No configuration for policies was provided. The following default policies were used to train your model.
+# # If you'd like to customize them, uncomment and adjust the policies.
+# # See https://rasa.com/docs/rasa/policies for more information.
+#   - name: MemoizationPolicy
+#   - name: RulePolicy
+#   - name: UnexpecTEDIntentPolicy
+#     max_history: 5
+#     epochs: 100
+#   - name: TEDPolicy
+#     max_history: 5
+#     epochs: 100
+#     constrain_similarities: true

credentials.yml

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+# This file contains the credentials for the voice & chat platforms
+# which your bot is using.
+# https://rasa.com/docs/rasa/messaging-and-voice-channels
+
+rest:
+#  # you don't need to provide anything here - this channel doesn't
+#  # require any credentials
+
+
+#facebook:
+#  verify: "<verify>"
+#  secret: "<your secret>"
+#  page-access-token: "<your page access token>"
+
+#slack:
+#  slack_token: "<your slack token>"
+#  slack_channel: "<the slack channel>"
+#  slack_signing_secret: "<your slack signing secret>"
+
+#socketio:
+#  user_message_evt: <event name for user message>
+#  bot_message_evt: <event name for bot messages>
+#  session_persistence: <true/false>
+
+#mattermost:
+#  url: "https://<mattermost instance>/api/v4"
+#  token: "<bot token>"
+#  webhook_url: "<callback URL>"
+
+# This entry is needed if you are using Rasa Enterprise. The entry represents credentials
+# for the Rasa Enterprise "channel", i.e. Talk to your bot and Share with guest testers.
+rasa:
+  url: "http://localhost:5002/api"

data/rasa_yaml_examples/nlu.yml

@@ -1,10 +1,15 @@
+version: "3.1"
+
 nlu:
 - intent: estimate_emissions
-  # Arbitrary metadata
-  metadata:
-    author: Some example metadata!
-    key: value
-  # Multiline examples, each line is a separate training example.
   examples: |
-     how much CO2 will that use?
-     how much carbon will a one way flight from [new york]{"entity": "city", "role": "from"} to california produce?
+    - how much CO2 will that use?
+    - how much carbon will a one way flight from [new york]{"entity": "city", "role": "from"} to [california]{"entity": "city", "role": "to"} produce?
+
+- intent: give_name
+  examples: |
+    - my name is lors
+    - I am Francelle
+    - call me Lorraine
+    - I'm Sam
+    - my name is [lors](name)

data/test_domains/duplicate_responses.yml

@@ -19,5 +19,4 @@ responses:
     - text: goodbye :(
   utter_default:
     - text: default message
-  utter_greet:
-      - text: hey there!
+

data/test_domains/empty_response_format.yml

@@ -13,7 +13,7 @@ entities:
  - name
 
 responses:
-  utter_greet:
+
   utter_goodbye:
     - text: goodbye :(
   utter_default:

domain.yml

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+version: "3.1"
+
+intents:
+  - greet
+  - goodbye
+  - affirm
+  - deny
+  - mood_great
+  - mood_unhappy
+  - bot_challenge
+  - give_name
+slots:
+  user_name:         # This is the "bucket" in the bot's memory
+    type: text
+    influence_conversation: true
+    mappings:
+      - type: from_text     # AUTOMATION: This captures everything you type
+        intent: give_name   # ...but only when you are introducing yourself
+
+responses:
+  utter_greet:
+  - text: "Hey! How are you?"
+
+  # Add this so the bot can actually use the name it stored
+  utter_greet_with_name:
+  - text: "Nice to meet you, {user_name}!"
+
+  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

endpoints.yml

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+# This file contains the different endpoints your bot can use.
+
+# Server where the models are pulled from.
+# https://rasa.com/docs/rasa/model-storage#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/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/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/event-brokers
+
+#event_broker:
+#  url: localhost
+#  username: username
+#  password: password
+#  queue: queue

research_data/nlu.yml

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+version: "3.1"
+
+nlu:
+- intent: greet
+  examples: |
+    - hey
+    - hello
+    - hi
+    - hello there
+    - good morning
+    - good evening
+    - moin
+    - hey there
+    - let's go
+    - hey dude
+    - goodmorning
+    - goodevening
+    - good afternoon
+
+- intent: goodbye
+  examples: |
+    - cu
+    - good by
+    - cee you later
+    - good night
+    - bye
+    - goodbye
+    - have a nice day
+    - see you around
+    - bye bye
+    - see you later
+
+- intent: affirm
+  examples: |
+    - yes
+    - y
+    - indeed
+    - of course
+    - that sounds good
+    - correct
+
+- intent: deny
+  examples: |
+    - no
+    - n
+    - never
+    - I don't think so
+    - don't like that
+    - no way
+    - not really
+
+- intent: mood_great
+  examples: |
+    - perfect
+    - great
+    - amazing
+    - feeling like a king
+    - wonderful
+    - I am feeling very good
+    - I am great
+    - I am amazing
+    - I am going to save the world
+    - super stoked
+    - extremely good
+    - so so perfect
+    - so good
+    - so perfect
+
+- intent: mood_unhappy
+  examples: |
+    - my day was horrible
+    - I am sad
+    - I don't feel very well
+    - I am disappointed
+    - super sad
+    - I'm so sad
+    - sad
+    - very sad
+    - unhappy
+    - not good
+    - not very good
+    - extremly sad
+    - so saad
+    - so sad
+
+- intent: bot_challenge
+  examples: |
+    - are you a bot?
+    - are you a human?
+    - am I talking to a bot?
+    - am I talking to a human?

research_data/rules.yml

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+version: "3.1"
+
+rules:
+
+- rule: Say goodbye anytime the user says goodbye
+  steps:
+  - intent: goodbye
+  - action: utter_goodbye
+
+- rule: Say 'I am a bot' anytime the user challenges
+  steps:
+  - intent: bot_challenge
+  - action: utter_iamabot

research_data/stories.yml

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+version: "3.1"
+
+stories:
+
+- story: happy path
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_great
+  - action: utter_happy
+
+- story: sad path 1
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_unhappy
+  - action: utter_cheer_up
+  - action: utter_did_that_help
+  - intent: affirm
+  - action: utter_happy
+
+- story: sad path 2
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_unhappy
+  - action: utter_cheer_up
+  - action: utter_did_that_help
+  - intent: deny
+  - action: utter_goodbye