FCM very slow and unreliable when sending to a group of recipients through Cloud Function - firebase

I have the following Function that:
Listens for document (text message) creation
Grab IDs of members of a group chat
Get the FCM Tokens for each member
With a for-loop, send messages to group members
exports.sendChatMessage = functions.firestore
.document("chats/{mealID}/messages/{messageID}")
.onCreate((snap, context) => {
const data = snap.data();
const mealID = context.params.mealID;
const senderID = data.senderID;
const senderName = data.senderName;
const messageContent = data.content;
var docRef = db.collection("chats").doc(mealID);
docRef
.get()
.then((doc) => {
if (doc.exists) {
const docData = doc.data();
const mealName = docData.name;
const userStatus = docData.userStatus;
var users = docData.to;
var eligibleUsers = users.filter(
(user) => userStatus[user] == "accepted"
);
eligibleUsers.push(docData.from);
// get fcmTokens from eligibleUsers and send the messagme
db.collection("users")
.where("uid", "in", eligibleUsers)
.get()
.then((snapshot) => {
var fcmTokens = [];
var thumbnailPicURL = "";
// get thumbnailpic of the sender and collect fcmTokens
snapshot.forEach((doc) => {
if (doc.data().uid == senderID) {
thumbnailPicURL =
doc.data().thumbnailPicURL == null
? "https://i.imgur.com/8wSudUk.png"
: doc.data().thumbnailPicURL;
} else {
fcmTokens.push(doc.data().fcmToken);
}
});
// send the message fcmTokens
fcmTokens.forEach((token) => {
if (token != "") {
const fcmMessage = {
message: {
token: token,
notification: {
title: mealName,
body: senderName + ": " + messageContent,
image: thumbnailPicURL,
},
apns: {
payload: {
aps: {
category: "MESSAGE_RECEIVED",
},
MEAL_ID: mealID,
},
},
},
};
tokenManger.sendFcmMessage(fcmMessage);
}
});
return true;
});
} else {
// doc.data() will be undefined in this case
console.log("No such document!");
return false;
}
})
.catch((error) => {
console.log("Error getting document:", error);
return false;
});
return true;
});
My send function comes from a helper file that uses the HTTP V1 protocol to build the send-request:
const { google } = require("googleapis");
const https = require("https");
const MESSAGING_SCOPE = "https://www.googleapis.com/auth/firebase.messaging";
const SCOPES = [MESSAGING_SCOPE];
const PROJECT_ID = MY_PROJECT_ID;
const HOST = "fcm.googleapis.com";
const PATH = "/v1/projects/" + PROJECT_ID + "/messages:send";
exports.getAccessToken = () => {
return new Promise(function (resolve, reject) {
const key = require("./service-account.json");
var jwtClient = new google.auth.JWT(
key.client_email,
null,
key.private_key,
SCOPES,
null
);
jwtClient.authorize(function (err, tokens) {
if (err) {
reject(err);
return;
}
resolve(tokens.access_token);
});
});
};
//send message
exports.sendFcmMessage = (fcmMessage) => {
this.getAccessToken().then(function (accessToken) {
var options = {
hostname: HOST,
path: PATH,
method: "POST",
headers: {
Authorization: "Bearer " + accessToken,
},
// … plus the body of your notification or data message
};
var request = https.request(options, function (resp) {
resp.setEncoding("utf8");
resp.on("data", function (data) {
console.log("Message sent to Firebase for delivery, response:");
console.log(data);
});
});
request.on("error", function (err) {
console.log("Unable to send message to Firebase");
console.log(err);
});
request.write(JSON.stringify(fcmMessage));
request.end();
});
};
It worked all fine in the emulator but once deployed, there're significant delays (~3 mins):
I also noticed that the console says the cloud function finishes execution BEFORE sendFcmMessage logs success messages.
I did some research online, it appears that it might have something to do with the usage of Promise but I wasn't sure if that's the sole reason or it has something to do with my for-loop.

The Problem
To summarize the issue, you are creating "floating promises" or starting other asynchronous tasks (like in sendFcmMessage) where you aren't returning a promise because they use callbacks instead.
In a deployed function, as soon as the function returns its result or the Promise chain resolves, all further actions should be treated as if they will never be executed as documented here. An "inactive" function might be terminated at any time, is severely throttled and any network calls you make (like setting data in database or calling out to FCM) may never be executed.
An indicator that you haven't properly chained the promises is when you see the function completion log message ("Function execution took...") before other messages you are logging. When you see this, you need to look at the code you are running and confirm whether you have any "floating promises" or are using callback-based APIs. Once you have changed the callback-based APIs to use promises and then made sure they are all chained together properly, you should see a significant boost in performance.
The fixes
Sending the message data to FCM
In your tokenManger file, getAccessToken() could be reworked slightly and sendFcmMessage should be converted to return a Promise:
exports.getAccessToken = () => {
return new Promise(function (resolve, reject) {
const key = require("./service-account.json");
const jwtClient = new google.auth.JWT(
key.client_email,
null,
key.private_key,
SCOPES,
null
);
jwtClient.authorize(
(err, tokens) => err ? reject(err) : resolve(tokens.access_token)
);
});
};
//send message
exports.sendFcmMessage = (fcmMessage) => {
// CHANGED: return the Promise
return this.getAccessToken().then(function (accessToken) {
const options = {
hostname: HOST,
path: PATH,
method: "POST",
headers: {
Authorization: "Bearer " + accessToken,
},
// … plus the body of your notification or data message
};
// CHANGED: convert to Promise:
return new Promise((resolve, reject) => {
const request = https.request(options, (resp) => {
resp.setEncoding("utf8");
resp.on("data", resolve);
resp.on("error", reject);
});
request.on("error", reject);
request.write(JSON.stringify(fcmMessage));
request.end();
});
});
};
However, the above code was built for googleapis ^52.1.0 and google-auth-library ^6.0.3. The modern versions of these modules are v92.0.0 and v7.11.0 respectively. This means you should really update the code to use these later versions like so:
// Import JWT module directly
const { JWT } = require('google-auth-library');
// FIREBASE_CONFIG is a JSON string available in Cloud Functions
const PROJECT_ID = JSON.parse(process.env.FIREBASE_CONFIG).projectId;
const FCM_ENDPOINT = `https://fcm.googleapis.com/v1/projects/${PROJECT_ID}/messages:send`;
const FCM_SCOPES = ["https://www.googleapis.com/auth/firebase.messaging"];
exports.sendFcmMessage = (fcmMessage) => {
const key = require("./service-account.json"); // consider moving outside of function (so it throws an error during deployment if its missing)
const client = new JWT({
email: key.client_email,
key: key.private_key,
scopes: FCM_SCOPES
});
return client.request({ // <-- this uses `gaxios`, Google's fork of `axios` built for Promise-based APIs
url: FCM_ENDPOINT,
method: "POST",
data: fcmMessage
});
}
Better yet, just use the messaging APIs provided by the Firebase Admin SDKs that handle the details for you. Just feed it the message and tokens as needed.
import { initializeApp } from "firebase-admin/app";
import { getMessaging } from "firebase-admin/messaging";
initializeApp(); // initializes using default credentials provided by Cloud Functions
const fcm = getMessaging();
fcm.send(message) // send to one (uses the given token)
fcm.sendAll(messagesArr) // send to many at once (each message uses the given token)
fcm.sendMulticast(message) // send to many at once (uses a `tokens` array instead of `token`)
The Cloud Function
Updating the main Cloud Function, you'd get:
exports.sendChatMessage = functions.firestore
.document("chats/{mealID}/messages/{messageID}")
.onCreate((snap, context) => {
const mealID = context.params.mealID;
const { senderID, senderName, content: messageContent } = snap.data();
const docRef = db.collection("chats").doc(mealID);
/* --> */ return docRef
.get()
.then((doc) => {
if (!doc.exists) { // CHANGED: Fail fast and avoid else statements
console.log(`Could not find "chat:${mealID}"!`);
return false;
}
const { userStatus, to: users, name: mealName, from: fromUser } = doc.data();
const eligibleUsers = users.filter(
(user) => userStatus[user] == "accepted"
);
eligibleUsers.push(fromUser);
// get fcmTokens from eligibleUsers and send the message
/* --> */ return db.collection("users")
.where("uid", "in", eligibleUsers) // WARNING: This will only work for up to 10 users! You'll need to break it up into chunks of 10 if there are more.
.get()
.then(async (snapshot) => {
const fcmTokens = [];
let thumbnailPicURL = "";
// get thumbnailpic of the sender and collect fcmTokens
snapshot.forEach((doc) => {
if (doc.get("uid") == senderID) {
thumbnailPicURL = doc.get("thumbnailPicURL"); // update with given thumbnail pic
} else {
fcmTokens.push(doc.get("fcmToken"));
}
});
const baseMessage = {
notification: {
title: mealName,
body: senderName + ": " + messageContent,
image: thumbnailPicURL || "https://i.imgur.com/8wSudUk.png", // CHANGED: specified fallback image here
},
apns: {
payload: {
aps: {
category: "MESSAGE_RECEIVED",
},
MEAL_ID: mealID,
},
}
}
// log error if fcmTokens empty?
// ----- OPTION 1 -----
// send the message to each fcmToken
const messagePromises = fcmTokens.map((token) => {
if (!token) // handle "" and undefined
return; // skip
/* --> */ return tokenManger
.sendFcmMessage({
message: { ...baseMessage, token }
})
.catch((err) => { // catch the error here, so as many notifications are sent out as possible
console.error(`Failed to send message to "fcm:${token}"`, err);
})
});
await Promise.all(messagePromises); // wait for all messages to be sent out
// --------------------
// ----- OPTION 2 -----
// send the message to each fcmToken
await getMessaging().sendAll(
fcmTokens.map((token) => ({ ...baseMessage, token }))
);
// --------------------
return true;
})
.catch((error) => {
console.log("Error sending messages:", error);
return false;
});
})
.catch((error) => {
console.log("Error getting document:", error);
return false;
});
});

I found out that the culprit is my queries to db. Like #samthecodingman commented, I was creating floating Promises.
Originally, I have codes like:
db.collection("users")
.where("uid", "in", eligibleUsers)
.get()
.then((snapshot) => {...}
All I needed to do is to return that call:
return db.collection("users")
.where("uid", "in", eligibleUsers)
.get()
.then((snapshot) => {...}
Although it's still not instant delivery, it's much faster now.

Related

Can i dispatch many actions in getServersideprops?

In my social media app in Home page i want to dispatch 3 actions from my api:
posts , users , userDetails
But this may show an error(500) on vercel because the request takes a lot of time to get all these data.
vercel Error
this error will not appear again after refreshing the page !!!
i think that's because the request takes a lot of time to get all the data.
-> getServersideProps Code
export const getServerSideProps = wrapper.getServerSideProps(
store => async (context) =>
{
const {req} = context
const session = await getSession({ req });
await store.dispatch(fetchPostsAction());
await store.dispatch(fetchUsersAction(4));
await store.dispatch(LoggedInUserAction({email:session.user.email}));
})
-> fetchPostsAction Code
"post/list",
async (_, { rejectWithValue, getState, dispatch }) => {
try
{
let link = `${URL}/api/posts`;
const { data } = await axios.get(link,{
headers: { "Accept-Encoding": "gzip,deflate,compress" }
});
console.log("#2 got the data",data)
return data;
} catch (error) {
if (!error?.response) throw error;
return rejectWithValue(error?.response?.data);
}
}
);
-> extraReducer Code
builder.addCase(createpostAction.pending, (state, action) => {
state.createPostLoading = true;
});
builder.addCase(createpostAction.fulfilled, (state, action) => {
state.postLists = [...state.postLists, action.payload.post].sort((a, b) => b.createdAt > a.createdAt ? 1 : -1)
state.createPostLoading = false;
state.isCreated = true;
state.appErr = null;
state.serverErr = null;
});
builder.addCase(createpostAction.rejected, (state, action) => {
state.createPostLoading = false;
state.appErr =
action?.payload?.message || action?.payload?.error?.message;
state.serverErr = action?.error?.message;
});
-> get posts from api Code
handler.get(async (req, res) =>
{
await db.connect();
try {
const posts = await Post.find().populate({
path: 'user',
model: 'User',
}).populate({
path:'comments',
options: {sort: {'createdAt' : -1} }
}).sort('-createdAt')
res.status(200).json({
success:true,
posts
});
} catch (err) {
res.status(500).json(err.message)
}
await db.disconnect();
})
so what is the best way to fetch all these data in next js ?
I hope there is a way to solve this problem

Returning a value from an asynchronous callback (Node.JS)

So, I have my route which console.logs 'undefined':
router.get("/validate-pin", async (req, res) => {
// restrict when done
try {
const { userId, pin } = req.query;
const isActivePin = await pinsDB.compareActivePin(userId, pin);
console.log(isActivePin)
return res.status(200).json(isActivePin);
} catch (error) {
console.log(error);
res.status(500).json({ error: "db error: ", error });
}
});
I have my compareActivePin method, which logs out the 'res' parameter, but for some reason doesn't return it:
async function compareActivePin(userId, received_pin) {
const active_pin = await db("account_pins").where({ userId, isActive: true });
const pinIsValidated = bcrypt.compareSync(
received_pin,
active_pin[0].account_pin
);
if (pinIsValidated) {
let skLocation = await db("sks").where({ userId }).select("url");
await readKey(skLocation[0].url, (res) => {
// console.log(res);
return res;
});
} else return false;
}
And I have my readKey method, which actually grabs the data I want my compareActivePin to return. This works like a charm.
const readKey = async (key, callback) => {
const aws = require("aws-sdk");
aws.config.update({
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
accessKeyId: process.env.AWS_ACCESS_KEY_ID,
region: "us-east-2",
});
const s3 = new aws.S3();
const getParams = { Bucket: process.env.SK_BUCKET, Key: `${key}.txt` };
await s3.getObject(getParams, (err, data) => {
if (err) return err;
return callback(data.Body.toString());
});
};
So, just to recap. When I hit my endpoint, I pass in a userId and pin (strings). This calls the compareActivePin method which validates the pin and then, if the pin is valid, it then calls readKey, which grabs the file from S3 and returns the text within the file.
Like I said, I'm able to log it out to the console from within the readKey callback, but when I try to log it out as the returned value from the route, it comes back undefined.
Hoping someone could point me in the right direction.
Thanks...
I ended up answering my own question. I don't think it's possible to get a return value from the callback, so I ended up paring down the call from the database and sending the response from the readKey function using the router response object, like so:
//CompareActivePin Function
async function compareActivePin(userId, received_pin) {
const active_pin = await db("account_pins").where({ userId, isActive: true });
const pinIsValidated = bcrypt.compareSync(
received_pin,
active_pin[0].account_pin
);
return pinIsValidated;
}
//Router Call
router.get("/validate-pin", async (req, res) => {
// restrict when done
try {
const { userId, pin } = req.query;
const isActivePin = await pinsDB.compareActivePin(userId, pin);
if (isActivePin) {
let skLocation = await skDB.findUrl(userId);
readKeyFunc(skLocation[0].url, (result) => {
return res.status(200).json({ confirmed: isActivePin, key: result });
});
} else return res.status(401).json({ confirmed: isActivePin, key: null });
} catch (error) {
res.status(500).json({ error: "db error: ", error });
}
});
This also goes a long way toward keeping my database methods pure and separating my concerns.
Thanks, StackOverflow!

Better code to push notification: firestore - cloud function

I made a cloud function (using google :() that sends push notifications when adding a document in firestore, but I have the error that you see in the image and the notifications do not arrive but I do not understand what may be wrong in my code, can someone help me?
mi code:
exports.cambiaColeccion = functions.firestore
.document('sendMessage/{docId}')
.onCreate((snap, context) => {
const nuevoMensaje= snap.data();
console.log('id', nuevoMensaje);
console.log('titulo', nuevoMensaje.titulo)
enviaMensage();
});
async function enviaMensage() {
console.log('en enviaMensaje');
const payload ={
notification: {
title: "Titulo del mensaje",
body: "Texto del mensaje ... ",
sound: 'default',
badge: '1',
}
// Get the list of device tokens.
const allTokens = await admin.firestore().collection('FCMTokens').get();
const tokens = [];
allTokens.forEach((tokenDoc) => {
tokens.push(tokenDoc.id);
});
if (tokens.length > 0) {
// Send notifications to all tokens.
const response = await admin.messaging().sendToDevice(tokens, payload);
//await cleanupTokens(response, tokens);
console.log('Notifications have been sent and tokens cleaned up.');
}
return true
}
// Cleans up the tokens that are no longer valid.
function cleanupTokens(response, tokens) {
// For each notification we check if there was an error.
const tokensDelete = [];
response.results.forEach((result, index) => {
const error = result.error;
if (error) {
console.error('Failure sending notification to', tokens[index], error);
// Cleanup the tokens who are not registered anymore.
if (error.code === 'messaging/invalid-registration-token' ||
error.code === 'messaging/registration-token-not-registered') {
const deleteTask = admin.firestore().collection('FCMTokens').doc(tokens[index]).delete();
tokensDelete.push(deleteTask);
}
}
});
return Promise.all(tokensDelete);
}
You need to return a Promise in your Cloud Function, in such a way the Cloud Functions instance running your function does not shut down before your function successfully reaches its terminating condition or state. See the doc for more details.
In your case you are not returning anything in the Cloud Function itself. Since async functions always return a Promise, you can adapt your code as follows:
exports.cambiaColeccion = functions.firestore
.document('sendMessage/{docId}')
.onCreate((snap, context) => {
const nuevoMensaje = snap.data();
console.log('id', nuevoMensaje);
console.log('titulo', nuevoMensaje.titulo)
return enviaMensage();
});
async function enviaMensage() {
console.log('en enviaMensaje');
const payload = {
notification: {
title: "Titulo del mensaje",
body: "Texto del mensaje ... ",
sound: 'default',
badge: '1',
}
}
// Get the list of device tokens.
const allTokens = await admin.firestore().collection('FCMTokens').get();
if (allTokens.size > 0) { // allTokens is a QuerySnapshot
const tokens = allTokens.docs.map(tokenDoc => tokenDoc.id);
await admin.messaging().sendToDevice(tokens, payload);
}
}
Note that it would be good to add some try/catch block in order to capture and debug potential errors.
Update following your comment on the cleanupTokens function.
Your cleanupTokens function is correct. It is asynchronous since it returns a Promise (returned by Promise.all(tokensDelete);).
The way you call it should work correctly:
const allTokens = await admin.firestore().collection('FCMTokens').get();
if (allTokens.size > 0) { // allTokens is a QuerySnapshot
const tokens = allTokens.docs.map(tokenDoc => tokenDoc.id);
const response = await admin.messaging().sendToDevice(tokens, payload);
await cleanupTokens(response, tokens);
}

Function execution took 60002 ms, finished with status: 'timeout' for callable function

I am experiencing an issue with Firebase callable functions and Auth triggers. You can see the callable function below. When it works it usually takes less than 1 second to finish but it started give frequent timeout errors since yesterday. Same thing for the Auth trigger, I was simply returning a Promise that writes user email to the Firestore in that case.
exports.respondToInvite = functions.https.onCall(async (data, context) => {
if (!context.auth) {
throw new functions.https.HttpsError('failed-precondition', 'The function must be called ' +
'while authenticated.');
}
const uid = context.auth.token.uid;
const inviteId = data.inviteId;
const groupId = data.groupId;
const accepted: boolean = data.accepted;
try {
const batch = admin.firestore().batch();
const inviteRef = admin.firestore().collection("invites").doc(inviteId);
batch.update(inviteRef, {
userId: uid,
status: accepted ? "accepted" : "rejected",
})
if (accepted) {
const groupUsersRef = admin.firestore().collection("groups").doc(groupId).collection("users").doc(context.auth.uid);
batch.set(groupUsersRef, {
createdAt: admin.firestore.Timestamp.now()
})
const userRef = admin.firestore().collection("users").doc(uid);
batch.set(userRef, {
"groupId": groupId
});
}
await batch.commit();
return "invitation accepted";
} catch (error) {
console.error(error);
throw new functions.https.HttpsError('failed-precondition', 'invite response failed',error);
}
});
Edit:
Here is the Auth trigger function
exports.newUser = functions.auth.user().onCreate((user) => {
const userRef = admin.firestore().collection("users").doc(user.uid);
return userRef.create({
"email": user.email,
});
});

Batch Geocode using Axios

Testing the HERE Batch GeoCode life-cycle through node application. We have similar working with Azure Mappings but they are crazy expensive.
Seems as if the initial post request is succeeding. But is stuck on "submitted" status during status check. And failing during result check with 404. Using axius to make the queries - with the documented examples.
const getStatus = async requestId => {
const url = statusURL(requestId);
const res = await axios.get(url);
const response = res.data.Response;
return response;
};
const getResult = async requestId => {
const url = resultURL(requestId);
const config = { headers: { 'Content-type': 'text/plain' } };
const res = await axios.get(url, config);
const response = res.data.Response;
return response;
};
const requestGeo = async input => {
const url = requestURL;
const res = await axios.post(url, input, {
headers: { 'Content-type': 'text/plain' },
});
const requestId = res.data.Response.MetaInfo.RequestId;
return requestId;
};
getStatus(requestId)
.then(res => {
console.log(res);
})
.catch(e => {
console.log(e);
});
const input = `recId|street|city|postalCode|country
1|425 Randolph St|Chicago||USA
2|31 St James Ave|Boston|02116|USA
3|Invalidenstrasse 117|Berlin|10115|DEU`;
requestGeo(input)
.then(console.log)
.catch(e => {
console.log(e);
});
If you don't specify the "&action=run" parameter in your initial request, then the job is being checked, stored and set as "submitted". This does not mean that it will be executed.
Alternatively you can send an "action=start"-request to start the job.
Having applied one of these two options, the job will be scheduled for execution and flagged as "accepted".

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