skip to navigation
skip to content

Not Logged In

balrog 1.0.1

Python access control library.

Balrog

Balrog is a Python library that helps you to build an authorization system in your projects:

You shall not pass!

Balrog is good for systems with statically defined roles that enable certain workflows. Every identity can have only one role on the certain context. This approach allows covering your system with functional tests according to the roles and flows these roles perform. Formal requirements can be applied to the workflows in the system which will define roles.

These roles are statically defined in the code and this way properly versioned and covered with testing. It is possible to do a composition of certain permission groups and share them between roles, but semantically there’s no way for one identity to have 2 contradicting roles when one role forbids actions and the other allows them. Instead a proper role can be extracted with the permissions it allows.

Installation

pip install balrog

Usage

Permission is needed to access a resource or to perform an action. Permissions are grouped in the roles and roles are grouped in the policies.

The entry point where a permission is being checked is the Policy. Define an instance of the Policy and specify the list of roles it works with.

Project can contain multiple policies that serve different purposes.

Permission declaration:

import balrog
from flask import request

def get_identity(*args, **kwargs):
"""Get current user."""
    # Flask request wrapper implements the ``user`` property
    return request.user

def get_role(identity, *args, **kwargs):
"""Get current identity role."""
    # User.role is a property of the ORM User model
    return identity.role


read = balrog.Permissions(name="article.read")
post = balrog.Permissions(name="article.post")
comment = balrog.Permissions(name="article.comment")

anonymous = balrog.Role(
    name="anonymous",
    permissions=[read],
)
"""Anonymous visitors can read articles."""

user = balrog.Role(
    name="user",
    permissions=[read, comment],
)
"""User accounts can read and comment articles."""

author = balrog.Role(
    name="author",
    permissions=[read, post, comment],
)
"""Author accounts can read, create and comment articles."""

policy = balrog.Policy(roles=[anonymous, user, author], get_identity=get_identity, get_role=get_role)

Permission checking:

# ...
policy = balrog.Policy(roles=[anonymous, user, author], get_identity=get_identity, get_role=get_role)
policy.check("article.comment")

Filtering collections:

articles = session.query(Article)
my_articles = policy.filter("article.view", objects=articles)

Every role is a collection of permissions. Besides being included in the role permissions can implement even more detailed checking and filtering logic.

Permission

Permissions have unique names (within the role) which reflect the resource and the action you want to take with this resource.

import balrog

eat = balrog.Permission(name="cucumber.eat")
happy = balrog.Permission(name="be-happy")

Name is just a string identifier that you are using in order to ask a policy for a permission. The name formatting convention can be decided per project.

Permissions have 2 methods: check and filter. By default the check method implements True and the filter method is simply bypassing the objects. These methods are an additional opportunities to control the access to certain context, instances of your resources, check whitelists, filter out objects from collections that can not be seen by currently authenticated identity, etc.

Role

Roles have unique names within the policy. Role name is determined by the authenticated identity and used in the policy permission check implicitly.

Roles are collections of permissions that define the role and enable certain workflows in your system.

When a system is large and has a lot of specific permissions declared sometimes it is easier to subclass the Role class instead of granting all permissions to the role:

import balrog


class Admin(balrog.Role):

    def check(self, identity, permission, *args, **kwargs):
        return True

Policy

Policy is used as an entry point of permission checking in your project. It incapsulates the roles that define your workflows. There could be multiple policy instances in the project.

Besides roles policy requires some configuration and backend implementation:

get_identity

A callback that returns currenlty authenticated identity. Projects have to implement this backend and restore the identity instance (e.g. User object) for example from the Flask Request object.

from flask import request

def get_identity(*args, **kwargs):
"""Get current user."""
    # Flask request wrapper implements the ``user`` property
    return request.user

get_role

A callback that returns which role current identity has on the context. In the simple case the role is associated to the user in the database.

def get_role(identity, *args, **kwargs):
"""Get current identity role."""
    # User.role is a property of the ORM User model
    return identity.role

check

The permission check. All arguments that you pass to this function are passed along in Role.check and finally to Permission.check.

if not policy.check("article.read", article=a):
    flask.abort("You can't access the article `{0}`".format(a.id))

filter

The function that is filtering out items of the given objects if the identity has no permission to access them.

articles = session.query(Article).filter_by(is_published=True)

my_articles = policy.filter("article.read", objects=articles)

Implementing your own filtering:

import balrog

class ViewArticle(balrog.Permission);

    def filter(self, identity, objects, *args, **kwargs):
        """Filter out articles of the other users.

        :param identity: User object.
        :param objects: SQLAlchemy query.

        :returns: SQLAlchemy query with applied filtering.
        """
        return objects.filter_by(user_id=identity.id)

Filter function can raise an exception in the case when there’s no such permission in the role of the identity. In this case the library doesn’t know for sure what type to return that represents an empty collection of objects. Some projects would expect an empty list, some - falsy ORM query, etc. Instead the exception should be handled:

try:
    my_articles = policy.filter("article.read", objects=articles)
except balrog.PermissionNotFound:
    my_articles = []

context

Everything that you pass extra to the check or filter function is passed along to the regarding Role and Permission methods. You can pass certain instance of an object you control your access using whitelists.

policy.check("message.send", ip=ip_addr)

Policy.check method can compare if ip address is in a whitelist.

Contact

If you have questions, bug reports, suggestions, etc. please create an issue on the GitHub project page.

License

This software is licensed under the MIT license

See License

Changelog

1.0.1

  • Pass the context to the get_identity (olegpidsadnyi)

1.0.0

  • Initial public release
 
File Type Py Version Uploaded on Size
balrog-1.0.1.tar.gz (md5) Source 2014-09-24 7KB
  • Downloads (All Versions):
  • 3 downloads in the last day
  • 40 downloads in the last week
  • 56 downloads in the last month