Module to align code with thoughts of users and designers. Also magically handles navigation and permissions.

Overview

This readme will introduce you to Carteblanche and walk you through an example app, please refer to carteblanche-django-starter for the full example project.

python-carteblanche

A menuing system of unlimited power. Holds and serializes the in-memory relationship between urls and objects and users.

Installation

You can obtain the source code for carteblanche from here:

https://github.com/neuman/python-carteblanche

Or install it with pip from the console

pip install carteblanche

Add 'carteblanche' to your django settings INSTALLED_APPS array.

Changes

This version contains significant changes from the original version and substantially breaks the API. The decision to break the original API was not made lightly, but was deemed necesary. The original version was created to see if there was interest in such a tool and was met with TONS of downloads. From now on I will attempt to keep the API as in tact as possible.

Fundamentally carteblanche is designed to make the process of developing an MVC app closer to the proccess of designing one. Designers, product owners and users tend to think of software in terms of:

  • What are the objects
  • What actions are available on those objects
  • Who can perform which actions on which objects at what time

Carteblanche makes it possible to structure your project in a way that directly mirrors that thought process. By breaking your permissions out into reusable verb classes that include permission conditions, it becomes possible to automatically:

  • Dynamically generate navigation appropriate for each user
  • Dynamically allow or block each user's access to specific views
  • Avoid spaghetti code by consistently handing condition variables down from model to view to template

There are three major components in Carteblanche:

  • Verb class
  • Noun mixin
  • NounView mixin

A verb class glues together a view, its named URL, a particular model, and a function that determines if the view is available to the requesting user.

The Noun mixin is intended to be mixed into a model class and along with the attribute 'verb_classes' makes the model aware of what verbs to check availability for.

The NounView mixin is intended to be mixed in with a View class and allows the view to be aware of what noun it represents.

Guided Intro

Your first step is to create a verbs.py file. This is typically done at the same level as your models.py file. This file will contain the conditional permissions for your entire app in once centralized location which makes for very easy adjustments later on when your designer/product owner/user decides they want a change.

Start out by importing the carteblanche basics, and putting together a class that includes some simple info for convenience. The 'condition_name' attribute exists to avoid repeatedly running the same 'is_available' function. If a Verb has a 'condition_name', Carteblanche stores the result of its 'is_available' function temporarily and skips running 'is_available' for any following Verbs with the same 'condition_name' on the Noun being checked. This sounds super complicated, but in practice is achieved by simple inheritance.

from django.core.urlresolvers import reverse
from carteblanche.base import Noun
from carteblanche.mixins import DjangoVerb, availability_login_required

APPNAME = 'core'

class CoreVerb(DjangoVerb):
    app = APPNAME
    condition_name = 'is_public'

Next, add base classes for simple 'is_authenticated' and 'is_not_authenticated' conditions. These may become a part of the next release, but because avoiding colisions in condition names are so critical, it's left up to you to explicitly write your own for now. Inherit from these for any Verbs that should only be available to users who are either logged in or not such as 'SiteJoinVerb' and 'SiteLoginVerb' below.

class AuthenticatedVerb(CoreVerb):
    '''
    abstract class for all verbs only visible to authenticated users
    '''
    condition_name = 'is_authenticated'
    required = True

    def is_available(self, user):
        return user.is_authenticated()


class NotAuthenticatedVerb(CoreVerb):
    '''
    abstract class for all verbs only visible to users who are not authenticated
    '''
    condition_name = 'is_not_authenticated'
    required = True

    def is_available(self, user):
        #only available to non-logged in users
        if user.is_authenticated():
            return False
        return True

class SiteJoinVerb(NotAuthenticatedVerb):
    display_name = "Join Indiepen"
    view_name='user_create'


class SiteLoginVerb(NotAuthenticatedVerb):
    display_name = "Login"
    view_name='user_login'

Lets assume that our app has a model called 'Sprocket' that has a ManyToMany of it's members. Our urls.py file has named urls for:

  • 'sprocket_detail' which should be available to anyone logged in
  • 'sprocket_update' which should be available only to users listed in the Sprocket's members
  • 'sprocket_delete' which should be available only to users listed in the Sprocket's members

You would add the following to our verbs.py file. You can see how easy it is to avoid running the same 'is_available' (by having SprocketUpdateVerb and SprocketUpdateVerb inherit from SprocketeerVerb they share a 'condition_name').

class SprocketDetailVerb(AuthenticatedVerb):
    display_name = "View Sprocket"
    view_name = 'sprocket_detail'

    def get_url(self):
        return reverse(viewname=self.view_name, args=[self.noun.id], current_app=self.app)

class SprocketeerVerb(CoreVerb):
    '''
    abstract class for all verbs available only to a sprocket's sprocketeers
    '''
    denied_message = "You must be one of the sprocket's sprocketeers to upload to this post."
    condition_name = "is_sprocketeer"

    @availability_login_required
    def is_available(self, user):
        return self.noun.is_sprocketeer(user)

    def get_url(self):
        return reverse(viewname=self.view_name, args=[self.noun.id], current_app=self.app)


class SprocketUpdateVerb(SprocketeerVerb):
    display_name = "Update Sprocket"
    view_name = 'sprocket_update'


class SprocketDeleteVerb(SprocketeerVerb):
    display_name = "Delete Sprocket"
    view_name = 'sprocket_delete'

In order to make these Verbs actually work for us, you must link them to a Noun. Make an existing model into a Noun by adding the mixin after models.Model in the inheritance chain, and adding a 'verb_classes' attribute as seen below.

from django.db import models
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from carteblanche.base import Noun
from core.verbs import *

class Sprocket(models.Model, Noun):
    sprocketeers = models.ManyToManyField(User)
    title = models.CharField(max_length=300)
    verb_classes = [SprocketDetailVerb, SprocketUpdateVerb, SprocketListVerb]

    def __str__(self):
        return self.title

    def is_sprocketeer(self, user):
        return self.sprocketeers.filter(id=user.id).count() > 0

    def get_absolute_url(self):
        return SprocketDetailVerb(self).get_url()

Now that your model has become a Noun, any views pertaining to it need to become NounViews. Add the NounView mixin before View in the inheritance chain. You must also add a 'get_noun' function that returns the instance of the model this view pertains to. Look how clean these views are!

from django.views.generic.base import TemplateView
from django.views.generic.edit import CreateView, UpdateView
from carteblanche.mixins import NounView
import core.models as cm

class SprocketView(NounView):

    def get_noun(self, **kwargs):
        return cm.Sprocket.objects.get(id=self.kwargs['pk'])


class SprocketDetailView(SprocketView, TemplateView):
    template_name = 'base.html'


class SprocketUpdateView(SprocketView, UpdateView):
    model = cm.Sprocket
    template_name = 'form.html'
    success_url = '/'

    def get_success_url(self):
        return cm.SprocketDetailVerb(self.noun).get_url()

At this point, all of the above views should automatically allow access to users who are members of a given sprocket and deny access to everyone else, but what about those other verbs we defined earlier that don't actually have a Noun? SiteJoinVerb and SiteLoginVerb are actions pertaining to the site itself rather than a particular model, so we'll just create a Noun for the site along with a few more verbs that are available at the siteroot. Add the following to your verbs.py file.

class SprocketCreateVerb(CoreVerb):
    display_name = "Create New Sprocket"
    view_name='sprocket_create'
    condition_name = 'is_authenticated'
    required = True

    @availability_login_required
    def is_available(self, user):
        return True

class SprocketListVerb(AuthenticatedVerb):
    display_name = "List Sprockets"
    view_name = 'sprocket_list'

class SiteRoot(Noun):
    '''
    A convenient hack that lets pages that have no actual noun have verbs and verb-based permissions. 
    '''
    verb_classes = [SiteJoinVerb, SiteLoginVerb, SprocketCreateVerb]

    def __unicode__(self):
        return 'Site Root'

    class Meta:
        abstract = True

Now add the following to your views.py file.

class SiteRootView(NounView):
    def get_noun(self, **kwargs):
        siteroot = cm.SiteRoot()
        return siteroot

class IndexView(SiteRootView, TemplateView):
    template_name = 'index.html'

#this login/user create stuff might be better off in a different app
class UserCreateView(SiteRootView, CreateView):
    model = User
    template_name = 'form.html'
    form_class = cf.RegistrationForm
    success_url = '/'

    def form_valid(self, form):
        user = User.objects.create_user(uuid4().hex, form.cleaned_data['email'], form.cleaned_data['password1'])
        user.first_name = form.cleaned_data['first_name']
        user.last_name = form.cleaned_data['first_name']
        user.save()
        user = authenticate(username=user.username, password=form.cleaned_data['password1'])
        login(self.request, user)
        form.instance = user
        return super(UserCreateView, self).form_valid(form)


class UserLoginView(SiteRootView, FormView):
    template_name = 'form.html'
    form_class = cf.LoginForm
    success_url = '/'

    def form_valid(self, form):
        user = form.user_cache
        login(self.request, user)
        form.instance = user
        return super(UserLoginView, self).form_valid(form)    

class SprocketCreateView(SiteRootView, CreateView):
    model = cm.Sprocket
    template_name = 'form.html'
    form_class = cf.SprocketForm
    success_url = '/'

    def get_success_url(self):
        self.object.sprocketeers.add(self.request.user)
        return cm.SprocketDetailVerb(self.object).get_url()

###Displaying in a Template The NounView mixin automatically includes 'available_verbs', 'conditions' and 'noun' in the cointext it hands to the template renderer. All you have to do to display the dynamically rendered navigation menu is include the following somewhere in your template.

<ul>
  {% for verb in noun.get_available_verbs %}
      <li><a href="{{ verb.url }}">{{ verb.display_name }}</a></li>
  {% endfor %}
</ul>

When view access is denied to a user, Carteblanche uses django's messaging system to display the appropriate Verb's 'denied_message'. You can set 'MESSAGES_TEMPLATE' to a custom template in your settings file. The messages template should include something similar to the following:

{% for message in messages %}
    <div class="alert alert-{{ message.tags }}">{{ message }}</div>
{% endfor %}
You might also like...
A python script to decrypt media files encrypted using the Android application 'Secret Calculator Photo Vault'. Supports brute force of PIN also.

A python script to decrypt media files encrypted using the Android application 'Secret Calculator Photo Vault'. Supports brute force of PIN also.

The refactoring tutorial I wrote for PyConDE 2022. You can also work through the exercises on your own.
The refactoring tutorial I wrote for PyConDE 2022. You can also work through the exercises on your own.

Refactoring 101 planet images by Justin Nichol on opengameart.org CC-BY 3.0 Goal of this Tutorial In this tutorial, you will refactor a space travel t

A Python application that helps users determine their calorie intake, and automatically generates customized weekly meal and workout plans based on metrics computed using their physical parameters

A Python application that helps users determine their calorie intake, and automatically generates customized weekly meal and workout plans based on metrics computed using their physical parameters

Simple plug-and-play installer for users who want to LineageOS from stock firmware, or from another custom ROM.

LineageOS for the Teracube 2e Simple plug-and-play installer for users who want to LineageOS from stock firmware, or from another custom ROM. Dependen

Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM
Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM

Serverless-capture-lambda-payload-demo Serverless demo showing users how they can capture (and obfuscate) their Lambda payloads in Datadog APM This wi

Sample python script for monitoring Rocketchat database and get statistics of users.
Sample python script for monitoring Rocketchat database and get statistics of users.

rocketchat-DB-monitoring Sample python script for monitoring Rocketchat database and get statistics of users. 1. Update python: yum check-update && yu

Dicionario-git-github - Dictionary created to help train new users of Git and GitHub applications
Dicionario-git-github - Dictionary created to help train new users of Git and GitHub applications

Dicionário 📕 Dicionário criado com o objetivo de auxiliar no treinamento de nov

Users can read others' travel journeys in addition to being able to upload and delete posts detailing their own experiences

Users can read others' travel journeys in addition to being able to upload and delete posts detailing their own experiences! Posts are organized by country and destination within that country.

tg-nearby Trilateration of nearby Telegram users as described in my corresponding article.

tg-nearby Trilateration of nearby Telegram users as described in my corresponding article. Setup If you want to toy with the code in this repository

Releases(v0.0.3)
Owner
Eric Neuman
Eric Neuman
create cohort visualizations for a subscription business

pycohort The main revenue generator for subscription businesses is recurring payments. There might be additional one-time offerings but the number of

Yalim Demirkesen 4 Sep 09, 2022
1. 네이버 카페 댓글을 빨리 다는 기능

naver_autoprogram 기능 설명 네이버 카페 댓글을 빨리 다는 기능 네이버 카페 자동 출석 체크 기능 동작 방식 카페 댓글 기능 기본 동작은 주기적인 스케쥴 동작으로 해당 카페 ID 와 특정 API 주소로 대상이 새글을 작성했는지 체크. 해당 대상이 새글 등

1 Dec 22, 2021
Programming in Bioinformatics, Block 3

Programming in Bioinformatics - Block 3 I. Setting up Environment and Running the Code Create the environment using the pibi_block3.yml file with the

2 Dec 10, 2021
Various hdas (Houdini Digital Assets)

aaTools My various assets for Houdini "ms_asset_loader" - Custom importer assets from Quixel Bridge "asset_placer" - Tool for placment sop geometry on

9 Dec 19, 2022
Runtime fault injection platform by Daniele Rizzieri (2021)

GDBitflip [v1.04] Runtime fault injection platform by Daniele Rizzieri (2021) This platform executes N times a binary and during each execution it inj

Daniele Rizzieri 1 Dec 07, 2021
Coded in Python 3 - I make for education, easily clone simple website.

Simple Website Cloner - Single Page Coded in Python 3 - I make for education, easily clone simple website. How to use ? Install Python 3 first. Instal

Phạm Đức Thanh 2 Jan 13, 2022
🍕 A small app with capabilities ordering food and listing them with pub/sub pattern

food-ordering A small app with capabilities ordering food and listing them. Prerequisites Docker Run Tests docker-compose run --rm web ./manage.py tes

Muhammet Mücahit 1 Jan 14, 2022
Telegram bot to search quotes from brainyquote.com

Brainy Quote Bot @BrainQuoteBot A star ⭐ from you means a lot to us! Telegram bot to search quotes from brainyquote.com Usage Deploy to Heroku Tap on

21 Nov 24, 2022
Free APN For Python

Free APN For Python

XENZI GANZZ 4 Apr 22, 2022
BasicVSR++ function for VapourSynth

BasicVSR++ BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment Ported from https://github.com/open-mmlab/mmediting De

Holy Wu 34 Nov 28, 2022
Stocks Trading News Alert Using Python

Stocks-Trading-News-Alert-Using-Python Ever Thought of Buying Shares of your Dream Company, When their stock price got down? But It is not possible to

Ayush Verma 3 Jul 29, 2022
A tool that bootstraps your dotfiles ⚡️

Dotbot Dotbot makes installing your dotfiles as easy as git clone $url && cd dotfiles && ./install, even on a freshly installed system! Rationale Gett

Anish Athalye 5.9k Jan 07, 2023
Read and write life sciences file formats

Python-bioformats is a Python wrapper for Bio-Formats, a standalone Java library for reading and writing life sciences image file formats. Bio-Formats

CellProfiler 106 Dec 19, 2022
You will need to install a few python packages for this one.

Features Bait support Auto repair will repair every 10 catches Anti detection (still a work in progress) but using random times and click positions Pr

12 Sep 21, 2022
This code can help you with auto update for-TV-advertisements in the store.

Auto-update-files-for-TV-advertisements-in-the-store This code can help you with auto update for-TV-advertisements in the store. It was write for Rasp

Max 2 Feb 20, 2022
contextlib2 is a backport of the standard library's contextlib module to earlier Python versions.

contextlib2 is a backport of the standard library's contextlib module to earlier Python versions. It also sometimes serves as a real world proving gro

Jazzband 35 Dec 23, 2022
How to create the game Rock, Paper, Scissors in Python

Rock, Paper, Scissors! If you want to learn how to do interactive games using Python, then this is great start for you. In this code, You will learn h

SplendidSpidey 1 Dec 18, 2021
ASVspoof 2021 Baseline Systems

ASVspoof 2021 Baseline Systems Baseline systems are grouped by task: Speech Deepfake (DF) Logical Access (LA) Physical Access (PA) Please find more de

91 Dec 28, 2022
The docker-based Open edX distribution designed for peace of mind

Tutor: the docker-based Open edX distribution designed for peace of mind Tutor is a docker-based Open edX distribution, both for production and local

Overhang.IO 696 Dec 31, 2022
Magenta: Music and Art Generation with Machine Intelligence

Magenta is a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new

Magenta 18.1k Jan 05, 2023