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WATI.io Dialogflow WhatsApp Adapter

This Dialogflow WhatsApp adapter allows you to add an additional endpoint to your bot for connect to the Whatsapp channel and get the response from Dialogflow.

Prerequisites

Apply through WhatsApp Solution Partner e.g. WATI.io

Installation

  • To run the package, run npm install with the full path to your package directory:

    npm install @wati.io/dialogflow-adapter-whatsapp

  • get the Dialogflow token from google cloud (go the Google Cloud Platform to enable the Dialogflow API and downland the API token JSON file)

  • save the token json file to root directory

  • save the the path of the token file to env variable GOOGLE_APPLICATION_CREDENTIALS , we suggest you use dotenv and save it to the .env file

process.env.GOOGLE_APPLICATION_CREDENTIALS = "C:\Users\user\xxx\xxx\xxx\NewAgent-xxxxx.json"

Usage

const WhatsAppAdapter = require('@wati.io/dialogflow-adapter-whatsapp');
  • get the user request from whatsapp
const wsAdapter = new WhatsAppAdapter({
    endpoint: 'https://whatsapp-apixxxxxx',// whatsapp endpoint
    token: 'xxxxxxxxxxxx', //The token you get from /v1/users/login, it will be used by default
    password: 'Basic xxxxxxxxxxx', //Basic base64(username:password) , it will be use to get the token from /v1/users/login, if you let `token` empty
    projectId: projectId, // your Dialogflow projectId
    sessionId: sessionId, // session of this conversation, e.g. 123456
    languageCode: languageCode //e.g. en, https://cloud.google.com/dialogflow/docs/reference/language
});

// WhatsApp endpoint
server.post('/api/whatsapp/messages', (req, res) => {
    wsAdapter.processActivity(req, res).then(async (context) => {
        console.log("user say: " + context.activity.text.body)
        await context.sendActivity("echo: " + context.activity.text.body);
    });
});

// get the response of the Dialogflow
await wsAdapter.getIntent(queries).then(async (replyText) => {
     await context.sendActivity(replyText);
});

Further reading