Today I'm "celebrating" the anniversary of my life with GraphQL in production Rails apps–1 year full of trials and errors, misses and hits, wtf-s and successes.

As an open-source addict, I especially loved working with GraphQL: it's a rather young technology, and hence there is a lot of opportunities for contributions (at least, in Ruby world) and experiments.

And now I'm presenting the result of one such experiment–the action_policy-graphql gem, which glues together GraphQL Ruby and Action Policy authorization library.

Wait, Action Policy, was ist das*?

* "what is it" in German (I'm listening to Rammstein while writing this post 🎸)

About the same time as I've started working with GraphQL, I've presented a new Ruby authorization library, Action Policy, to the world (at RailsConf 2018).

Action Policy has been extracted from multiple projects I've been working on in the last few years. It's ideologically similar to Pundit (and initially was built on top of it) but provides a bunch of additional features out-of-the-box (and has a very different architecture inside).

One of these features is an ability to provide an additional context on why the authorization check failed–failure reasons tracking.

This feature has been a dark horse for a long time, we barely used it (mostly for debugging purposes) until we started working with GraphQL–that's when the ugly duckling turned into a beautiful swan.

To learn more about Action Policy and its features check out the slides from the most recent talk I gave at Seattle.rb early this year: https://speakerdeck.com/palkan/seattle-dot-rb-2019-a-denial.

Authorization & GraphQL

Authorization is an act of giving someone official permission to do something (not to be confused with authentication).

Every time we "ask" in our code, "Is a user allowed to do that?" we perform the act of authorization.

When dealing with GraphQL, this question could be divided into more specific ones:

• Is a user allowed to interact with the object (of a specific type or in a particular node of the graph)?
• Is a user allowed to perform this mutation or subscribe to this subscription?

Another related aspect is data scoping: filter collections according to the user's permissions instead of checking every single item.

The graphql gem provides basic authorization support (via the #authorized? hook) and scoping support (via the #scope_items hook): it can be good enough in the beginning but doesn't scale well due to the amount of boilerplate.

That's why I've started the development of action_policy-graphql gem–to provide a better API for fields authorization and scoping (similar to the one you can see in GraphQL Pro for pundit and cancancan). Now we describe our APIs like this:

# field authorization example (`authorize: true`)
field :home, Home, null: false, authorize: true do
  argument :id, ID, required: true
end

# data scoping using policies (`authorized_scope: true`)
field :events, EventType.connection_type, null: false, authorized_scope: true

This implementation uses field extensions internally, which turned out to be more flexible than building on top of the #authorized? and #scope_items hooks.

The problem seemed to be solved: it became effortless to use the authorization and scoping rules defined in policy classes in the API to check permissions and raise exceptions ("Access Denied!"). Though the latter one–raising exceptions–wasn't the best way to inform users about the lack of permissions.

What about preventing these exceptions and telling frontend clients, which actions are permitted and not?

Let the client know about its rights

The problem of pushing current user's permissions information down to the client (frontend/mobile application) is not new; it existed years before GraphQL was born.

The problem could be translated into the following question: how to make the client know which actions are allowed to a user (and show/hide specific buttons/links/controls)?

How to solve it?

You may try, for example, to pass only the authorization model (role, permissions set) and implement (i.e., duplicate) the authorization rules client-side. Such duplication is the easiest way to shoot yourself in the foot.

You should rely on a single source of authorization truth.

And this single source of truth is, usually, a server (because that's where you perform the authorization checks themselves).

Thus, we need to transform our policy rules to client-compatible format–for example, JSON object.

Dumping all the possible authorization rules for a user into a JSON object doesn't seem to be a good idea, especially if we have dozens of policy classes. Hopefully, one of the GraphQL advantages is the ability to request only the data you need (and avoid overfetching).

So, we started with the simple idea of adding canDoSmth boolean fields to our GraphQL types:

class EventType < Types::BaseType
  # include Action Policy helpers (`authorize!`, `allowed_to?`)
  include ActionPolicy::Behaviour

  field :can_destroy, Boolean, null: false

  def can_destroy
    # checks the EventPolicy#destroy? rule for the object
    allowed_to?(:destroy?, object, context: {user: context[:current_user]})
  end
end

Now a client can ask the server whether it's allowed to delete the event:

query {
  event(id: $id) {
    canDestroy # true | false
  }
}

We also added a macro to define authorization fields to reduce the boilerplate:

class EventType < Types::BaseType
  include ActionPolicy::Behaviour

  expose_authorization_rules :destroy?, :edit?, :rsvp?
end

"Are we there yet?". Nope.

Clients need more context

It turned out that in most cases knowing whether the action is allowed or not (true or false) is not enough: we also need to show a notification to the user (or answer the question "Why?"). And in some situations, this message should be different depending on the reason why we disallowed this action.

Consider a simplified example of a rule checking whether a user is allowed to RSVP to the event:

def rsvp?
  allowed_to?(:show?) &&  # => User should have an access to this event
  rsvp_open? &&           # => RSVP should be open
  seats_available?        # => There must be seats left
end

We're most interested in the last two checks (because if a user has no access to the event, it shouldn't ask for permission to RSVP).

When RSVP is closed, we want to show the "RSVP has been closed for this event" message; when no more seats available–"This event is sold out."

How can we get this information from our policy? Using the failure reasons functionality!

We need to change our rule a bit for that:

def rsvp?
  allowed_to?(:show?) &&
  # wrapping method call into a `check?` method
  # tracks the failure of this check (i.e. when it returns false) 
  check?(:rsvp_open?) &&
  check?(:seats_available?)
end

Now we can retrieve the additional context from the authorization check result:

policy = EventPolicy.new(record: event, user: user)
# first, apply the rule
policy.apply(:rsvp?)
# now we can access the result object and its reasons
# for example, details hash contains the checks names grouped
# by a policy
policy.result.reasons.details #=> {event: [:rsvp_open?]} or {event: [:seats_available?]}

Wait? Details hash? Identifiers? We need human-readable messages!

OK. Here come the Action Policy and i18n integration.

Let's add our message to the locales files:

en:
  action_policy:
    policy:
      event:
        rsvp?: "You cannot RSVP to this event"
        rsvp_opened?: "RSVP has been closed for this event"
        seats_available?: "This event is sold out"

To access the localized messages, you use the #full_messages method on the result object:

policy.result.reasons.full_messages #=> ["RSVP has been closed for this event"]

# to access the top-level (rule) message
policy.result.message #=> "You cannot RSVP to this event"

Now go back to GraphQL and enhance our expose_authorization_rules macro to define a field with an AuthorizationResult type:

Which contains a reasons field of a FailureReasons type:

From the client perspective, it looks like this:

query {
  event(id: $id) {
    canDestroy {
      value # true | false
      message # top-level message
      reasons {
        details # JSON-encoded failure details
        fullMessages # human-readable messages
      }
    }
  }
}

What are the pros of this approach?

• You have a standardized API for fetching the authorization information
• You have a single abstraction layer for dealing with authorization (policy classes)
• Adding authorization rules to the schema is simple (and, thanks to Action Policy testability, testing is simple, too).

And all that functionality you get for free when using action_policy-graphql gem!

Read more dev articles on https://evilmartians.com/chronicles!