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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 |
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