gitlab-org--gitlab-foss/doc/development/policies.md
2017-06-27 12:44:38 -07:00

5.8 KiB

DeclarativePolicy framework

The DeclarativePolicy framework is designed to assist in performance of policy checks, and to enable ease of extension for EE. The DSL code in app/policies is what Ability.allowed? uses to check whether a particular action is allowed on a subject.

The policy used is based on the subject's class name - so Ability.allowed?(user, :some_ability, project) will create a ProjectPolicy and check permissions on that.

Managing Permission Rules

Permissions are broken into two parts: conditions and rules. Conditions are boolean expressions that can access the database and the environment, while rules are statically configured combinations of expressions and other rules that enable or prevent certain abilities. For an ability to be allowed, it must be enabled by at least one rule, and not prevented by any.

Conditions

Conditions are defined by the condition method, and are given a name and a block. The block will be executed in the context of the policy object - so it can access @user and @subject, as well as call any methods defined on the policy. Note that @user may be nil (in the anonymous case), but @subject is guaranteed to be a real instance of the subject class.

class FooPolicy < BasePolicy
  condition(:is_public) do
    # @subject guaranteed to be an instance of Foo
    @subject.public?
  end

  # instance methods can be called from the condition as well
  condition(:thing) { check_thing }

  def check_thing
    # ...
  end
end

When you define a condition, a predicate method is defined on the policy to check whether that condition passes - so in the above example, an instance of FooPolicy will also respond to #is_public? and #thing?.

Conditions are cached according to their scope. Scope and ordering will be covered later.

Rules

A rule is a logical combination of conditions and other rules, that are configured to enable or prevent certain abilities. It is important to note that the rule configuration is static - a rule's logic cannot touch the database or know about @user or @subject. This allows us to cache only at the condition level. Rules are specified through the rule method, which takes a block of DSL configuration, and returns an object that responds to #enable or #prevent:

class FooPolicy < BasePolicy
  # ...

  rule { is_public }.enable :read
  rule { thing }.prevent :read

  # equivalently,
  rule { is_public }.policy do
    enable :read
  end

  rule { ~thing }.policy do
    prevent :read
  end
end

Within the rule DSL, you can use:

  • A regular word mentions a condition by name - a rule that is in effect when that condition is truthy.
  • ~ indicates negation
  • & and | are logical combinations, also available as all?(...) and any?(...)
  • can?(:other_ability) delegates to the rules that apply to :other_ability. Note that this is distinct from the instance method can?, which can check dynamically - this only configures a delegation to another ability.

Scores, Order, Performance

To see how the rules get evaluated into a judgment, it is useful in a console to use policy.debug(:some_ability). This will print the rules in the order they are evaluated.

When a policy is asked whether a particular ability is allowed (policy.allowed?(:some_ability)), it does not necessarily have to compute all the conditions on the policy. First, only the rules relevant to that particular ability are selected. Then, the execution model takes advantage of short-circuiting, and attempts to sort rules based on a heuristic of how expensive they will be to calculate. The sorting is dynamic and cache-aware, so that previously calculated conditions will be considered first, before computing other conditions.

Scope

Sometimes, a condition will only use data from @user or only from @subject. In this case, we want to change the scope of the caching, so that we don't recalculate conditions unnecessarily. For example, given:

class FooPolicy < BasePolicy
  condition(:expensive_condition) { @subject.expensive_query? }

  rule { expensive_condition }.enable :some_ability
end

Naively, if we call Ability.can?(user1, :some_ability, foo) and Ability.can?(user2, :some_ability, foo), we would have to calculate the condition twice - since they are for different users. But if we use the scope: :subject option:

  condition(:expensive_condition, scope: :subject) { @subject.expensive_query? }

then the result of the condition will be cached globally only based on the subject - so it will not be calculated repeatedly for different users. Similarly, scope: :user will cache only based on the user.

DANGER: If you use a :scope option when the condition actually uses data from both user and subject (including a simple anonymous check!) your result will be cached at too global of a scope and will result in cache bugs.

Sometimes we are checking permissions for a lot of users for one subject, or a lot of subjects for one user. In this case, we want to set a preferred scope - i.e. tell the system that we prefer rules that can be cached on the repeated parameter. For example, in Ability.users_that_can_read_project:

def users_that_can_read_project(users, project)
  DeclarativePolicy.subject_scope do
    users.select { |u| allowed?(u, :read_project, project) }
  end
end

This will, for example, prefer checking project.public? to checking user.admin?.

Delegation

Delegation is the inclusion of rules from another policy, on a different subject. For example,

class FooPolicy < BasePolicy
  delegate { @subject.project }
end

will include all rules from ProjectPolicy. The delegated conditions will be evaluated with the correct delegated subject, and will be sorted along with the regular rules in the policy. Note that only the relevant rules for a particular ability will actually be considered.