I am using firebase cloud function in my firebase group chat app, Setup is already done but problem is when some one send message in any group then all user get notification for that message including non members of group.
I want to send notification to group specific users only, below is my code for firebase cloud function -
const functions = require('firebase-functions');
const admin = require('firebase-admin');
const _ = require('lodash');
admin.initializeApp(functions.config().firebase);
exports.sendNewMessageNotification = functions.database.ref('/{pushId}').onWrite(event => {
const getValuePromise = admin.database()
.ref('messages')
.orderByKey()
.limitToLast(1)
.once('value');
return getValuePromise.then(snapshot => {
const { text, author } = _.values(snapshot.val())[0];
const payload = {
notification: {
title: text,
body: author,
icon: ''
}
};
return admin.messaging()
.sendToTopic('my-groupchat', payload);
});
});
This will be really help full, if anyway some one can suggest on this.
As per our conversation on the comments I believe that the issue is that you are using a topic that contains all the users, which is the my-groupchat topic. The solution would be to create a new topic with the users that are part of this subtopic.
As for how to create such topics, there are a couple of examples in this documentation, in there you can see that you could do it server side, or client side. In your case, you could follow the examples for the server side, since you would need to add them in bulk, but as new users are added it could be interesting to implement the client side approach.
My app uses fcmTokens assigned to a user and stored in a Firestore document to keep track of app installations and logins. When a user logs out of the app I delete the fcmToken from the Firestore document and run InstanceID.instanceID().deleteID.
However when the user has bad internet 'InstanceID.instanceID().deleteID' is run again when the app starts the next time. The fcmToken in the Firestore document is not deleted in this case.
Theoretically I could also run a query in the app and search for this token in all of the Firestore user documents and delete it there but I rather would like to use cloud functions to check if the fcmTokens of a user are still valid. If not I want to delete them. I started writing the following cloud function but I am getting an error saying
Decoding Firebase ID token failed. Make sure you passed the entire string JWT which represents an ID token. See https://firebase.google.com/docs/auth/admin/verify-id-tokens for details on how to retrieve an ID token.
I assume I am using the wrong function and fcmTokens are not the same as ID Tokens?
Is there a way to check for the validity of the fcmToken similar to how I check here for the (non existent) ID Token.
Or should I somehow use ID Tokens in general for managing device specific login? ( I'm using a Snapshot listener that listens for fcmToken changes and I am logging the user out when a specific fcmToken is deleted.)
Here is my cloud function:
const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp();
var userA_UID = ""
exports.checkFcmToken = functions.firestore.document('registeredUsers/{userA_UID}').onUpdate(async (snapshot, context) => {
userA_UID = context.params.userA_UID;
const userInfo = await admin.firestore().collection('registeredUsers').doc(userA_UID).get();
const fcmTokens = userInfo.data()['fcmTokens'];
if (fcmTokens !== undefined) {
if (fcmTokens.length > 0) {
for (let fcmToken of fcmTokens) {
checkToken(fcmToken)
}
}
}
function checkToken(fcmToken) {
//will delete token from document array if invalid
admin.auth().verifyIdToken(fcmToken)
.then((decodedToken) => {
let uid = decodedToken.uid;
console.log(uid)
throw new Error('Error!')
}).catch((error) => {
console.log(error)
});
}
})
FCM tokens and ID tokens are quite different, and cannot be used interchangeably.
Firebase Authentication ID tokens identify a user. This means that if the same user is signed in on two different devices, they have ID tokens that identify the same user.
FCM tokens (also called Instance ID tokens) identify an application installation. If you have two tokens from two different devices, there is nothing that is shared between those tokens.
FCM tokens are opaque strings, and cannot be be verified without calling the FCM API.
When you send a message to an outdated token, the FCM API responds with a clear error message. The idiomatic way to keep your list of tokens clean is to handle this error message and remove the outdated token, as shown in this example from the Cloud Functions repo.
I am able to send message to specific users with older botbuilder SDK 3.13.1 by saving message.address field in database.
var connector = new builder.ChatConnector({
appId: process.env.MicrosoftAppId,
appPassword: process.env.MicrosoftAppPassword,
openIdMetadata: process.env.BotOpenIdMetadata
});
var bot = new builder.UniversalBot(connector);
var builder = require('botbuilder');
var msg = new builder.Message().address(msgAddress);
msg.text('Hello, this is a notification');
bot.send(msg);
How can this be done with botbuilder SDK 4? I am aware of the Rest API but want to achieve this with the SDK itself because the SDK is the more preferred way of communication between the bot and user.
Thanks in advance.
Proactive Messages in the BotFramework v4 SDK enable you to continue conversations with individual users or send them notifications.
First, you need to import TurnContext from the botbuilder library so you can get the conversation reference.
const { TurnContext } = require('botbuilder');
Then, in the onTurn method, you can call the getConversationReference method from TurnContext and save the resulting reference in a database.
/**
* #param {TurnContext} turnContext A TurnContext object representing an incoming message to be handled by the bot.
*/
async onTurn(turnContext) {
...
const reference = TurnContext.getConversationReference(turnContext.activity);
//TODO: Save reference to your database
...
}
Finally, you can retrieve the reference from the database and call the continueConversation method from the adapter to send specific users a message or notification.
await this.adapter.continueConversation(reference, async (proactiveTurnContext) => {
await proactiveTurnContext.sendActivity('Hello, this is a notification')
});
For more information about proactive messages, take a look at the documentation or this example on GitHub. Hope this is helpful.
I would like to have a very simple client in nodejs (an example) that can receive messages from my contacts in telegram. I just searched in internet but I only get bot samples. I want to receive group messages in what I don't have access to give privileges to my bot so I would like to know if I can receive my own messages with no bot as intermediary.
Well... Other answers give examples from unmaintained libraries. Hence, you should not rely on these libraries.
See: telegram.link is dead
You should use the newest Telegram client library which is telegram-mtproto
1. Obtain your api_id and api_hash from:
Telegram Apps
2. Install the required client library:
npm install telegram-mtproto#beta --save
3. Initialize your node.js application with api_id and api_hash you got from Telegram Apps and with your phone number:
import MTProto from 'telegram-mtproto'
const phone = {
num : '+90555555555', // basically it is your phone number
code: '22222' // your 2FA code
}
const api = {
layer : 57,
initConnection : 0x69796de9,
api_id : 111111
}
const server = {
dev: true //We will connect to the test server.
} //Any empty configurations fields can just not be specified
const client = MTProto({ server, api })
async function connect(){
const { phone_code_hash } = await client('auth.sendCode', {
phone_number : phone.num,
current_number: false,
api_id : 111111, // obtain your api_id from telegram
api_hash : 'fb050b8fjernf323FDFWS2332' // obtain api_hash from telegram
})
const { user } = await client('auth.signIn', {
phone_number : phone.num,
phone_code_hash: phone_code_hash,
phone_code : phone.code
})
console.log('signed as ', user);
}
connect();
4. Receive messages (The fun part! 👨🏻💻)
const telegram = require('./init') // take a look at the init.js from the examples repo
const getChat = async () => {
const dialogs = await telegram('messages.getDialogs', {
limit: 50,
})
const { chats } = dialogs;
const selectedChat = await selectChat(chats);
return selectedChat;
}
Furthermore, Take a look at the examples from the original repo:
Usage Examples
Reading Chat History
Updating Profile Info
If you want to interact with Telegram data outside one of the official applications (website, mobile or desktop app etc...) you will have to create an App, so you will be required to generate API key and/or use any already existing App which fit your requirement (bots in your case).
Let me underline that with API system it appear difficult to get access to something which is restricted, if you don't have previously grant or add privileges to access it ... Nobody want that anyone could access any data...
Regards
You can use the following libraries.
https://github.com/zerobias/telegram-mtproto
https://github.com/dot-build/telegram-js
They provide abstractions to build applications to interact with telegram. for an example on how to use telegram-js, you can use https://github.com/dot-build/telegram-js/blob/master/sample.js.
(Thank you #gokcand for the feedback)
I'm trying to implement oauth2 authentication on my nodejs Google Assistant app developed using (DialogFlow or API.ai and google actions).
So I followed this answer. But I'm always getting "It looks like your test oauth account is not linked yet. " error. When I tried to open the url shown on the debug tab, it shows 500 broken url error.
Dialogflow fullfillment
index.js
'use strict';
const functions = require('firebase-functions'); // Cloud Functions for Firebase library
const DialogflowApp = require('actions-on-google').DialogflowApp; // Google Assistant helper library
const googleAssistantRequest = 'google'; // Constant to identify Google Assistant requests
exports.dialogflowFirebaseFulfillment = functions.https.onRequest((request, response) => {
console.log('Request headers: ' + JSON.stringify(request.headers));
console.log('Request body: ' + JSON.stringify(request.body));
// An action is a string used to identify what needs to be done in fulfillment
let action = request.body.result.action; // https://dialogflow.com/docs/actions-and-parameters
// Parameters are any entites that Dialogflow has extracted from the request.
const parameters = request.body.result.parameters; // https://dialogflow.com/docs/actions-and-parameters
// Contexts are objects used to track and store conversation state
const inputContexts = request.body.result.contexts; // https://dialogflow.com/docs/contexts
// Get the request source (Google Assistant, Slack, API, etc) and initialize DialogflowApp
const requestSource = (request.body.originalRequest) ? request.body.originalRequest.source : undefined;
const app = new DialogflowApp({request: request, response: response});
// Create handlers for Dialogflow actions as well as a 'default' handler
const actionHandlers = {
// The default welcome intent has been matched, welcome the user (https://dialogflow.com/docs/events#default_welcome_intent)
'input.welcome': () => {
// Use the Actions on Google lib to respond to Google requests; for other requests use JSON
//+app.getUser().authToken
if (requestSource === googleAssistantRequest) {
sendGoogleResponse('Hello, Welcome to my Dialogflow agent!'); // Send simple response to user
} else {
sendResponse('Hello, Welcome to my Dialogflow agent!'); // Send simple response to user
}
},
// The default fallback intent has been matched, try to recover (https://dialogflow.com/docs/intents#fallback_intents)
'input.unknown': () => {
// Use the Actions on Google lib to respond to Google requests; for other requests use JSON
if (requestSource === googleAssistantRequest) {
sendGoogleResponse('I\'m having trouble, can you try that again?'); // Send simple response to user
} else {
sendResponse('I\'m having trouble, can you try that again?'); // Send simple response to user
}
},
// Default handler for unknown or undefined actions
'default': () => {
// Use the Actions on Google lib to respond to Google requests; for other requests use JSON
if (requestSource === googleAssistantRequest) {
let responseToUser = {
//googleRichResponse: googleRichResponse, // Optional, uncomment to enable
//googleOutputContexts: ['weather', 2, { ['city']: 'rome' }], // Optional, uncomment to enable
speech: 'This message is from Dialogflow\'s Cloud Functions for Firebase editor!', // spoken response
displayText: 'This is from Dialogflow\'s Cloud Functions for Firebase editor! :-)' // displayed response
};
sendGoogleResponse(responseToUser);
} else {
let responseToUser = {
//richResponses: richResponses, // Optional, uncomment to enable
//outputContexts: [{'name': 'weather', 'lifespan': 2, 'parameters': {'city': 'Rome'}}], // Optional, uncomment to enable
speech: 'This message is from Dialogflow\'s Cloud Functions for Firebase editor!', // spoken response
displayText: 'This is from Dialogflow\'s Cloud Functions for Firebase editor! :-)' // displayed response
};
sendResponse(responseToUser);
}
}
};
// If undefined or unknown action use the default handler
if (!actionHandlers[action]) {
action = 'default';
}
// Run the proper handler function to handle the request from Dialogflow
actionHandlers[action]();
// Function to send correctly formatted Google Assistant responses to Dialogflow which are then sent to the user
function sendGoogleResponse (responseToUser) {
if (typeof responseToUser === 'string') {
app.ask(responseToUser); // Google Assistant response
} else {
// If speech or displayText is defined use it to respond
let googleResponse = app.buildRichResponse().addSimpleResponse({
speech: responseToUser.speech || responseToUser.displayText,
displayText: responseToUser.displayText || responseToUser.speech
});
// Optional: Overwrite previous response with rich response
if (responseToUser.googleRichResponse) {
googleResponse = responseToUser.googleRichResponse;
}
// Optional: add contexts (https://dialogflow.com/docs/contexts)
if (responseToUser.googleOutputContexts) {
app.setContext(...responseToUser.googleOutputContexts);
}
app.ask(googleResponse); // Send response to Dialogflow and Google Assistant
}
}
// Function to send correctly formatted responses to Dialogflow which are then sent to the user
function sendResponse (responseToUser) {
// if the response is a string send it as a response to the user
if (typeof responseToUser === 'string') {
let responseJson = {};
responseJson.speech = responseToUser; // spoken response
responseJson.displayText = responseToUser; // displayed response
response.json(responseJson); // Send response to Dialogflow
} else {
// If the response to the user includes rich responses or contexts send them to Dialogflow
let responseJson = {};
// If speech or displayText is defined, use it to respond (if one isn't defined use the other's value)
responseJson.speech = responseToUser.speech || responseToUser.displayText;
responseJson.displayText = responseToUser.displayText || responseToUser.speech;
// Optional: add rich messages for integrations (https://dialogflow.com/docs/rich-messages)
responseJson.data = responseToUser.richResponses;
// Optional: add contexts (https://dialogflow.com/docs/contexts)
responseJson.contextOut = responseToUser.outputContexts;
response.json(responseJson); // Send response to Dialogflow
}
}
});
// Construct rich response for Google Assistant
const app = new DialogflowApp();
const googleRichResponse = app.buildRichResponse()
.addSimpleResponse('This is the first simple response for Google Assistant')
.addSuggestions(
['Suggestion Chip', 'Another Suggestion Chip'])
// Create a basic card and add it to the rich response
.addBasicCard(app.buildBasicCard(`This is a basic card. Text in a
basic card can include "quotes" and most other unicode characters
including emoji 📱. Basic cards also support some markdown
formatting like *emphasis* or _italics_, **strong** or __bold__,
and ***bold itallic*** or ___strong emphasis___ as well as other things
like line \nbreaks`) // Note the two spaces before '\n' required for a
// line break to be rendered in the card
.setSubtitle('This is a subtitle')
.setTitle('Title: this is a title')
.addButton('This is a button', 'https://assistant.google.com/')
.setImage('https://developers.google.com/actions/images/badges/XPM_BADGING_GoogleAssistant_VER.png',
'Image alternate text'))
.addSimpleResponse({ speech: 'This is another simple response',
displayText: 'This is the another simple response 💁' });
// Rich responses for both Slack and Facebook
const richResponses = {
'slack': {
'text': 'This is a text response for Slack.',
'attachments': [
{
'title': 'Title: this is a title',
'title_link': 'https://assistant.google.com/',
'text': 'This is an attachment. Text in attachments can include \'quotes\' and most other unicode characters including emoji 📱. Attachments also upport line\nbreaks.',
'image_url': 'https://developers.google.com/actions/images/badges/XPM_BADGING_GoogleAssistant_VER.png',
'fallback': 'This is a fallback.'
}
]
},
'facebook': {
'attachment': {
'type': 'template',
'payload': {
'template_type': 'generic',
'elements': [
{
'title': 'Title: this is a title',
'image_url': 'https://developers.google.com/actions/images/badges/XPM_BADGING_GoogleAssistant_VER.png',
'subtitle': 'This is a subtitle',
'default_action': {
'type': 'web_url',
'url': 'https://assistant.google.com/'
},
'buttons': [
{
'type': 'web_url',
'url': 'https://assistant.google.com/',
'title': 'This is a button'
}
]
}
]
}
}
}
};
Actually I deployed the code exists in the dialog flow inline editor. But don't know how to implement an oauth endpoint, whether it should be a separate cloud function or it has to be included within the existsing one. And also I am so confused with how oauth authorization code flow will actually work.. Let's assume we are on the Assistant app, once the user say "talk to foo app", does it automatically opens a web browser for oauth code exchange process?
The answer you referenced had an update posted on October 25th indicating they had taken action to prevent you from entering in a google.com endpoint as your auth provider for Account Linking. It seems possible that they may have taken other actions to prevent using Google's auth servers in this way.
If you're using your own auth server, the error 500 would indicate an error on your oauth server, and you should check your oauth server for errors.
Update to answer some of your other questions.
But don't know how to implement an oauth endpoint
Google provides guidance (but not code) on what you need to do for a minimal OAuth service, either using the Implicit Flow or the Authorization Code Flow, and how to test it.
whether it should be a separate cloud function or it has to be included within the existing one
It should be separate - it is even arguable that it must be separate. In both the Implicit Flow and the Authorization Code Flow, you need to provide a URL endpoint where users will be redirected to log into your service. For the Authorization Code Flow, you'll also need an additional webhook that the Assistant will use to exchange tokens.
The function behind these needs to be very very different than what you're doing for the Dialogflow webhook. While someone could probably make a single function that handles all of the different tasks - there is no need to. You'll be providing the OAuth URLs separately.
However, your Dialogflow webhook does have some relationship with your OAuth server. In particular, the tokens that the OAuth server hands to the Assistant will be handed back to the Dialogflow webhook, so Dialogflow needs some way to get the user's information based on that token. There are many ways to do this, but to list just a few:
The token could be a JWT and contain the user information as claims in the body. The Dialogflow webhook should use the public key to verify the token is valid and needs to know the format of the claims.
The OAuth server and the Dialogflow webhook could use a shared account database, and the OAuth server store the token as a key to the user account and delete expired keys. The Dialogflow webhook could then use the token it gets as a key to look up the user.
The OAuth server might have a(nother) webhook where Dialogflow could request user information, passing the key as an Authorization header and getting a reply. (This is what Google does, for example.)
The exact solutions depends on your needs and what resources you have available to you.
And also I am so confused with how oauth authorization code flow will actually work.. Let's assume we are on the Assistant app, once the user say "talk to foo app", does it automatically opens a web browser for oauth code exchange process?
Broadly speaking - yes. The details vary (and can change), but don't get too fixated on the details.
If you're using the Assistant on a speaker, you'll be prompted to open the Home app which should be showing a card saying what Action wants permission. Clicking on the card will open a browser or webview to the Actions website to begin the flow.
If you're using the Assistant on a mobile device, it prompts you directly and then opens a browser or webview to the Actions website to begin the flow.
The auth flow basically involves:
Having the user authenticate themselves, if necessary.
Having the user authorize the Assistant to access your resources on the user's behalf.
It then redirects to Google's servers with a one-time code.
Google's servers then take the code... and close the window. That's the extent of what the user's see.
Behind the scenes, Google takes this code and, since you're using the Authorization Code Flow, exchanges it for an auth token and a refresh token at the token exchange URL.
Then, whenever the user uses your Action, it will send an auth token along with the rest of the request to your server.
Plz suggest the necessary package for OAuth2 configuration
That I can't do. For starters - it completely depends on your other resources and requirements. (And this is why StackOverflow doesn't like people asking for suggestions like this.)
There are packages out there (you can search for them) that let you setup an OAuth2 server. I'm sure someone out there provides OAuth-as-a-service, although I don't know any offhand. Finally, as noted above, you can write a minimal OAuth2 server using the guidance from Google.
Trying to create a proxy for Google's OAuth is... probably possible... not as easy as it first seems... likely not as secure as anyone would be happy with... and possibly (but not necessarily, IANAL) a violation of Google's Terms of Service.
can't we store the user's email address by this approach?
Well, you can store whatever you want in the user's account. But this is the user's account for your Action.
You can, for example, access Google APIs on behalf of your user to get their email address or whatever else they have authorized you to do with Google. The user account that you have will likely store the OAuth tokens that you use to access Google's server. But you should logically think of that as separate from the code that the Assistant uses to access your server.
My implementation of a minimal oauth2 server(works for the implicit flow but doesn't store the user session).
taken from https://developers.google.com/identity/protocols/OAuth2UserAgent.
function oauth2SignIn() {
// Google's OAuth 2.0 endpoint for requesting an access token
var oauth2Endpoint = 'https://accounts.google.com/o/oauth2/v2/auth';
// Create element to open OAuth 2.0 endpoint in new window.
var form = document.createElement('form');
form.setAttribute('method', 'GET'); // Send as a GET request.
form.setAttribute('action', oauth2Endpoint);
//Get the state and redirect_uri parameters from the request
var searchParams = new URLSearchParams(window.location.search);
var state = searchParams.get("state");
var redirect_uri = searchParams.get("redirect_uri");
//var client_id = searchParams.get("client_id");
// Parameters to pass to OAuth 2.0 endpoint.
var params = {
'client_id': YOUR_CLIENT_ID,
'redirect_uri': redirect_uri,
'scope': 'email',
'state': state,
'response_type': 'token',
'include_granted_scopes': 'true'
};
// Add form parameters as hidden input values.
for (var p in params) {
var input = document.createElement('input');
input.setAttribute('type', 'hidden');
input.setAttribute('name', p);
input.setAttribute('value', params[p]);
form.appendChild(input);
}
// Add form to page and submit it to open the OAuth 2.0 endpoint.
document.body.appendChild(form);
form.submit();
}
This implementation isn't very secure but it's the only code I've gotten to work as OAuth server for the Assistant.
I am able to make it work after a long time. We have to enable the webhook first and we can see how to enable the webhook in the dialog flow fulfillment docs If we are going to use Google Assistant, then we have to enable the Google Assistant Integration in the integrations first. Then follow the steps mentioned below for the Account Linking in actions on google:-
Go to google cloud console -> APIsand Services -> Credentials -> OAuth 2.0 client IDs -> Web client -> Note the client ID, client secret from there -> Download JSON - from json note down the project id, auth_uri, token_uri -> Authorised Redirect URIs -> White list our app's URL -> in this URL fixed part is https://oauth-redirect.googleusercontent.com/r/ and append the project id in the URL -> Save the changes
Actions on Google -> Account linking setup 1. Grant type = Authorisation code 2. Client info 1. Fill up client id,client secrtet, auth_uri, token_uri 2. Enter the auth uri as https://www.googleapis.com/auth and token_uri as https://www.googleapis.com/token 3. Save and run 4. It will show an error while running on the google assistant, but dont worry 5. Come back to the account linking section in the assistant settings and enter auth_uri as https://accounts.google.com/o/oauth2/auth and token_uri as https://accounts.google.com/o/oauth2/token 6. Put the scopes as https://www.googleapis.com/auth/userinfo.profile and https://www.googleapis.com/auth/userinfo.email and weare good to go. 7. Save the changes.
In the hosting server(heroku)logs, we can see the access token value and through access token, we can get the details regarding the email address.
Append the access token to this link "https://www.googleapis.com/oauth2/v1/userinfo?access_token=" and we can get the required details in the resulting json page.
`accessToken = req.get("originalRequest").get("data").get("user").get("accessToken")
r = requests.get(link)
print("Email Id= " + r.json()["email"])
print("Name= " + r.json()["name"])`