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A Flipper Cloud (https://www.flippercloud.io/) package for Django apps.

Project description

django-flippy

A Flipper Cloud package for Django apps. (Not affiliated with the Flipper Cloud folks, just think they're a good idea.) Feature flags for Django projects, because why should the Rails people have all the fun?

Installation

# pip install django-flippy

Then add flippy to your INSTALLED_APPS in settings.py. Finally, ./manage.py migrate to run the migrations.

Usage

from django.contrib.auth.models import User

from flippy import Flippy
from flippy.backends import DjangoBackend

f = Flippy(DjangoBackend())

# create a feature
f.create('my_cool_feature')

# enable for half of all users
f.enable_percentage_of_actors('my_cool_feature', 50)

# check if a given user should get the feature
# (depending on chance, the user may or may not be flagged in -- if so,
# crank the percentage_of_actors up to 100 if you want to confirm it worked)
u = User.objects.get(pk=1)
if f.is_enabled('my_cool_feature', u):
  print('This user gets the cool new feature.')
else:
  print('This user gets the old, less cool feature.')

Using Flipper Cloud

The above recipe only uses the local Django-based backend and does not connect you to Flipper Cloud. There is a FlipperCloudBackend which expects a Flipper Cloud token passed in the constructor:

from flippy import Flippy
from flippy.backends import FlipperCloudBackend

f = Flippy(FlipperCloudBackend('MY-TOKEN-HERE'))

but be warned: this backend makes direct API calls for every operation. There will be work to make Flipper Cloud a viable backend without having to make an HTTP request for every operation, coming soon.

Other improvements will include ways to easily access these features from views, templates, etc.

Testing

We test with pytest. By default, tests which require an active Flipper Cloud account aren't run. You can run them with pytest -m flippercloud. Note that you must set FLIPPER_CLOUD_TOKEN in your environment for them to run.

Creating and testing a new backend

You may want to store your feature data differently. You can model your backend off of flippy.backends.MemoryBackend, extending flippy.core.BaseBackend and implementing all the methods. That interface is how Flippy (the user side) will expect to interact with you. You can take a look at tests/memory_backend_test.py to see how to run a suite of tests against your implementation.

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