unleash-django

This library is a wrapper for Unleash.io's python

It can wrap views and methods to run if only feature is enabled and return a fallback function otherwise.

Installation

$ pip install unleash-django-util

Setting:

set following values in your settings:

* UNLEASH_API_TOKEN = 'your project token',default is 'default:development. unleash-insecure-api-token'
* UNLEASH_URL = 'the project url', default is 'https://app.unleash-hosted.com/demo/api/'
* UNLEASH_APP_NAME = 'the app name', default is 'miare'

Use in Test Env:

set UNLEASH_FAKE_INITIALIZE = True in settings if no initialization is needed. By doing so no request is sent to Unleash server, neither for fetching flag status nor submitting metrics.

Wrappers:

Using view wrapper:

from unleash_django.decorators.view_flag import view_flag


def fallback_func(self):
    """some code goes here"""


@view_flag('feature_name', fallback_func)
def get(self):
    """some code here"""

Using method wrapper:

from unleash_django.decorators.method_flag import method_flag


def fallback_func():
    """ some code goes here """


@method_flag('feature_name', user_id=123)
def method():
    """ some code goes here """

if a method feature flag is going to have a user based strategy, user_id should be provided

Methods:

is_enabled:

from unleash_django.api.method import is_enabled

is_enabled('feature_name', context={'userId': '123'})

if feature flag is on, True will be returned, otherwise False unless default is set to True.

get_variant:

from unleash_django.api.method import get_variant

get_variant('feature_name', context={'userId': '123'})

the result should be like:

 {
   "name": "variant1",
   "payload": {
       "type": "string",
       "value": "val1"
       },
   "enabled": True
}

with_feature_flag:

from unleash_django.api.method import with_feature_flag


def enabled_func():
    """some code goes here"""


def disabled_func():
    """some code goes here"""


with_feature_flag('feature_name', enabled_function=enabled_func, disabled_function=disabled_func)

It runs enabled_function if feature is on, otherwise disabled_function unless default value is set to True

it is possible to pass functions with args and kwargs using tuple, dict or FlagFunction

Change Log

0.4.4

• add a variable for fake initialization

0.4.3

• set level of logging

0.4.1

• added get_variant function