JustinaPetr

def slot_mappings(self):
    # type: () -> Dict[Text: Union[Dict, List[Dict]]]
    """A dictionary to map required slots to
    - an extracted entity
    - intent: value pairs
    - a whole message or a list of them, where a first 
                                 match will be picked"""

    return { "outdoor_seating": [self.from_entity(entity="seating"),
                      self.from_intent(intent='affirm',

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"


    @staticmethod
    def required_slots(tracker: Tracker) -> List[Text]:

JustinaPetr

def required_slots(tracker):
    # type: () -> List[Text]
    """A list of required slots that the form has to fill"""

    if tracker.get_slot('cuisine') == 'greek':
        return ["cuisine", "num_people", "outdoor_seating",
             	"preferences", "feedback"]
    else:
        return ["cuisine", "num_people",
             	"preferences", "feedback"]

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"


	@staticmethod
    def required_slots(tracker: Tracker) -> List[Text]:

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

JustinaPetr

{
   "actions": [
      {
        "description": "Default Welcome Intent",
        "name": "MAIN",
        "fulfillment": {
          "conversationName": "welcome"
        },
        "intent": {
          "name": "actions.intent.MAIN",

JustinaPetr

from rasa_core.agent import Agent
from rasa_core.interpreter import RasaNLUInterpreter
from custom import GoogleConnector
from rasa_core.utils import EndpointConfig

action_endpoint = EndpointConfig(url="http://localhost:5055/webhook")
nlu_interpreter = RasaNLUInterpreter('./models/current/nlu_model')
agent = Agent.load('./models/current/dialogue', interpreter = nlu_interpreter, action_endpoint=action_endpoint)

input_channel = GoogleConnector()

JustinaPetr

import logging
import json
from sanic import Blueprint, response
from sanic.request import Request
from typing import Text, Optional, List, Dict, Any

from rasa.core.channels.channel import UserMessage, OutputChannel
from rasa.core.channels.channel import InputChannel
from rasa.core.channels.channel import CollectingOutputChannel

JustinaPetr

@google_webhook.route("/webhook", methods=['POST'])
async def receive(request):
    payload = request.json	
    intent = payload['inputs'][0]['intent'] 			
    text = payload['inputs'][0]['rawInputs'][0]['query'] 
	
    if intent == 'actions.intent.MAIN':	
        message = "Hello! Welcome to the Rasa-powered Google Assistant skill. You can start by saying hi."			 
    else:
        out = CollectingOutputChannel()