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ga_connector.py
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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
logger = logging.getLogger(__name__)
class GoogleConnector(InputChannel):
"""A custom http input channel.
This implementation is the basis for a custom implementation of a chat
frontend. You can customize this to send messages to Rasa Core and
retrieve responses from the agent."""
@classmethod
def name(cls):
return "google_assistant"
def blueprint(self, on_new_message):
google_webhook = Blueprint('google_webhook', __name__)
@google_webhook.route("/", methods=['GET'])
async def health(request):
return response.json({"status": "ok"})
@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()
await on_new_message(UserMessage(text, out))
responses = [m["text"] for m in out.messages]
message = responses[0]
r = {
"expectUserResponse": 'true',
"expectedInputs": [
{
"possibleIntents": [
{
"intent": "actions.intent.TEXT"
}
],
"inputPrompt": {
"richInitialPrompt": {
"items": [
{
"simpleResponse": {
"textToSpeech": message,
"displayText": message
}
}
]
}
}
}
]
}
return response.json(r)
return google_webhook