Securing specific Document fields in Firestore - firebase

I'm trying to create a simple system that allows users to create an account with info that they provided. Right now, I store all the data in a Collection users which has some Documents that represents users.
I'd like to keep some sensitive data of the user, such as the email address and phone number, private. In Firebase Database I would've created something like this:
users: {
uid: {
public_info:...
private_info:...
}
}
Protecting the data in here is pretty straight forward. I would simply write different rule sets for the private_info and public_info.
How would something like this be achieved in Firestore?

Use different top-level collections for user public and private data, and set their rules appropriately.

Depending on the use case you have two reasonably useful options:
Have a top level collection (public) with a sub collection called something like "private_data" (private) and grant access accordingly.
--OR--
Have a top level collection (private) with a sub collection called something like "public_data" (public) and grand access accordingly.

Related

Firestore Security Rules Shared Document by Group

I have a situation where a user can create a doc and then share it with a group of other users. They could share it to multiple different groups. I don't know how to set a rule for this.
Here is the database structure:
So in the group you have a list of docs that have been shared to it. My app loads the group that a user is in, then wants to load all the docs in the documents array. I need a way server side to say that this is OK. Up until now only the owner of the doc can read it.
I put a field in each doc that contains ids for each group its shared to. I think I want to say "check if the user is a member of any groups in the sharedToGroups" list but I can't work out how to do that unless I maintain another list somewhere say in the userProfile doc that has a list of circles the user is a member of. Even then I'd be trying to compare 2 lists and I'm not sure I can do that client side.
It would be nice to be able to get the group Id somehow from where the request is being issued from and just see if that is in the sharedToGroups array.
Any help or comments on how this can be achieved would be greatly appreciated, maybe it needs a different db structure.
You can try an approach of this sort:
I am not sure if this will help you but off the top of my head maybe you could enable permissions on firestore for the group document. As in, in the rules, for the group set up a function that validates the user with the user ID stored in the document with the ID attached in the auth via the firebase auth
Therefore, rather than trying to restrict access per document, restrict access per group.
I'm going to answer my own question. Not sure if its the correct protocol here (not a professional programmer or experienced Stack Overflower) but it might help someone.
I ended up adding a field in the user_profiles document that has a list of each group they are in. This list needs to be maintained as I create and add / remove people from groups along with the members list in the group itself.
The benefit of this is that I can use the users id from the request object to get that document from the data base in the security rule. I then have a 'sharedToGroup' array in the doc I'm trying to access and a "inGroups" array in the user_profile that I can access also. Then I use the hasAny operator to compare the two arrays and allow access if the sharedToGroup array has any values from the inGroups array.
My rule becomes:
match /_group/{groupId}{
allow create: if isSignedIn();
allow read: if isOwner()
|| resource.data.sharedToGroup.hasAny(get(/databases/$(database)/documents/user_profiles/$(request.auth.uid)).data['inGroups']);
allow write: if isOwner();
}
Only thing left to do is to secure the user_profiles doc to make sure not even the user can write to it since I don't want someone manually adding groups into their array.
I hope this might help someone someday - like I said I'm a not a pro here so take it with a grain of salt.

How do I implement a follower system with private accounts in Firebase?

I'm building an an app in Firebase with a user feature and I need to implement a system to allow:
A user to follow another user
A user to see a list of the users they're following
A user to set their profile as private so that some of their data is only visible to the people following them
A user to be able to send a follow request to a user with a private profile
A user with a private profile to be able to accept/reject follow requests
So far I've made a Firestore collection at the root called users. When a user signs up with Firebase Auth, a document is made in users with the following structure:
user (document)
username: stringaccountIsPrivate: boolean
userData (collection)
userData (document)
where all the data that would be hidden if the account were private is in the userData document.
I'm not sure how I could implement the system to fulfill my requirements from here so that I could use Firestore rules to only allow followers of a private account to view that account's userData. I would appreciate it if anyone could suggest an appropriate data structure and an outline of how to write rules for this.
For this kind of situation, you must maintain two sources of truth, one for the creator and one for the user. this is done with an array of strings in both that have the user_uid and any additional information concatenated.
The goal is to have an array of CSV-like values of which you can split and render within your app.
create a concat string: entry = [user.uid, user.name, user.url].join(';');
return string to object: entry.split(';');
Doing the following ensures that only a unique entry exists
db.doc("user/user_id/userData/followers").set({ followers: Firestore.FieldValue.ArrayUnion(entry)}, {merge: true});
This is only a rough example and some backend logic will be needed to scale large - but with this, you have a theoretical limit of 200k entries depending on how much data you want to store in the string.
Additional logic would involve cloud functions reading and writing when a request to follow has been created which handles a counter that creates new documents as needed and ensure's that the counter is updated to prevent overflow since Security Rules can't do any recursive logic or manipulate the request directly.

Best Practice to keep user data in firebase firestore?

I am using firebase as a backend for my Android App. And this app is a social media app where users can post, comment & like. so I am storing user data in user_collection and this collection is secured by security rules where if uid == auth.uid (any user can only access data of himself).
Now in this app when a user post something every user can see this post. And in post_collection I am saving userId in post_doc.
So the problem is I need to show name of user to other users and I have only userId but the problem is a user can't get name of other user by uid beacuse of security rules. now I have to solutions for this please tell me which one is better or you can also suggest any other solutions also?
I can use cloud functions getUserNameById() (Problem : I need to call this function very frequently in feed when user scroll)
I can store name also in post_doc (problem : when user changes his name then It will show old name in old post)
Thanks for you kind help
In a scenario like the one you describe, I would typically store the user name in each post doc. I would also ignore updates to the name, as I think of the user name in the post doc as a historical value: this is the name the user had when they posted this. Now you may want different behavior of course, in which case I recommend reading: How to write denormalized data in Firebase
Your approach with Cloud Functions is fine too, and quite common in some situations. But I tend to only use Cloud Functions for reading data, it the read operation itself is particularly complex, which isn't the case here. In a case like this, I'd recommend coming up with a data model that allows the use-case and security you want.
For example: if you create a collection usernames where each document has the UID as its document ID, and then contains a single field with the username for that UID, you could implement the lookup of the user name through Firestore.
So you could have:
Store the full user profile in /users/$uid.
Store the user name in /usernames/$uid.
Have a Cloud Function that triggers when /users/$uid is written and that updates /usernames/$uid.
The client then has read access to each /usernames/$uid document, or even to the entire /usernames collection in one go if needed.
This way the names can be cached on the client, and continue to work when the app is offline, unlike in your approach with a Cloud Function that looks up the user name.
Consider the solution: whatever public data you need (author name, author userpic link etc) just save it with the post at the time it had created.
So your Message Pojo will looks like:
id
authorName
text
etc..
and just display this name (authorName).
It will be the bad way to go any time to User_collection folder to take the name even if there are would be not strict security (becouse it takes time and document reads)

Firebase database check if element exists in a ListField in Flutter

I have a real-time database on firebase which consists of ListFields. Among these fields, one field, participants is a list of strings and two usernames. I want to make a query to firebase database such that it will return the documents in which a particular username is present in the participants list.
The structure of my document is as follows :
I want to make a query such that Firebase returns all the documents in which the participants list consists aniruddh. I am using Flutter with the flutterfire plugins.
Your current data structure makes it easy to find the participants for a conversation. It does however not make it easy to find the conversations for a user.
One alternative data structure that makes this easier is to store the participants in this format:
imgUrls: {},
participants: {
"aniruddh": true,
"trubluvin": true
}
Now you can technically query for the the conversations of a user with something like:
db.child("conversations").orderByChild("participants/aniruddh").equalTo(true)
But this won't scale very well, as you'll need to define an index for each user.
The proper solution is to add a second data structure, known as an inverted index, that allows the look up of conversations for a user. In your case that could look like this:
userConversations: {
"aniruddh": {
"-LxzV5LzP9TH7L6BvV7": true
},
"trubluvin": {
"-LxzV5LzP9TH7L6BvV7": true
}
}
Now you can look up the conversations that a user is part of with a simple read operation. You could expand this data structure to contain more information on each conversation, such as the information you want to display in your list view.
Also see my answer heres:
Firebase query if child of child contains a value (for more explanation on why the queries won't work in your current structure, and why they won't scale in the first structure in my answer).
Best way to manage Chat channels in Firebase (for an alternative way of naming the chat rooms).

Custom Authentication in Google Firebase

I have a question regarding authentication using Google Firebase.
For an app, I want to build an authentication similar to the one Slack uses: first, the user provides the input as to which group they want to log in to. If there exists a group with the same name as provided in the input, the user is then taken to a login/signup screen.
I've thought about storing users in the realtime database as follows, but I think there must be a better way to do this (since I don't think I can use the firebase authentication in this case):
groups: {
"some_group_name": {
"users": [
"user1": {
.. user 1 information
},
"user2": {
.. user 2 information
}
],
"group_details": {
"name": ..,
"someGroupDetail": ..
}
},
"some_other_group_name": {
...
}
}
I haven't realized if there is an obvious answer yet, so I'm open to suggestions. How would you suggest I tackle this?
Thanks
PS: I'm building the application using Nativescript and Angular, and (so far) there is no server or database involved other than Firebase.
Another suggestion that might work, is by using Firebase Auth Custom Claims. That way, you only need to store the group ID and group name in your realtime database, without worrying to keep changing the database each time user is added or removed.
This is one way you can do it:
Store database exactly like you have it, with it's group ID and name.
In your backend script (I recommend Cloud Function), each time a User is registering themselves, add custom claims in your user: Specifying what group is the User belong to.
Every time user authenticate, retrieve the group ID from custom claims. And there you get it!
Note: be careful not to put too much information in your custom claims as it cannot exceed 1000 bytes.
Read more about it here: https://firebase.google.com/docs/auth/admin/custom-claims
I would suggest you to implement Root-level collections.
Which is to create collections at the root level of your database to organize disparate data sets(as shown in the image below).
Advantages: As your lists grow, the size of the parent document doesn't change. You also get full query capabilities on
subcollections.
Possible use case: In the same chat app, for example, you
might create collections of users or messages within chat room
documents
Based on the reference from the firebase cloud firestore
Choose a data structure tutorial (I know you are using Realtime database but structuring the database is the same since both are using the NoSQL Schema)
For your case:
Make 2 Collections: Users, Groups
Users: User info is stored in the form of document
Groups: In the Groups Collection, here comes the tricky part, you can either store all groups subcollection under 1 document or split into multiple documents (based on your preference)
In the group-subcollection, you can now store your group info as well as the user assigned where you can store user assigned in the form of array, therefore whenever a user access the group, query the user assigned first, if yes, then allow (assuming users can view all group)
You do the thinking now

Resources