A Flask extension that enables or disables features based on configuration.

Overview

Flask FeatureFlags

PyPI version Build Status Coverage Status

This is a Flask extension that adds feature flagging to your applications. This lets you turn parts of your site on or off based on configuration.

It's useful for any setup where you deploy from trunk but want to hide unfinished features from your users, such as continuous integration builds.

You can also extend it to do simple a/b testing or whitelisting.

Installation

Installation is easy with pip:

pip install flask_featureflags

To install from source, download the source code, then run this:

python setup.py install

Flask-FeatureFlags supports Python 2.6, 2.7, and 3.3+ with experimental support for PyPy.

Version 0.1 of Flask-FeatureFlags supports Python 2.5 (but not Python 3), so use that version if you need it. Be aware that both Flask and Jinja have dropped support for Python 2.5.

Docs

For the most complete and up-to-date documentation, please see: https://flask-featureflags.readthedocs.org/en/latest/

Setup

Adding the extension is simple:

from flask import Flask
from flask_featureflags import FeatureFlag

app = Flask(__name__)

feature_flags = FeatureFlag(app)

In your Flask app.config, create a FEATURE_FLAGS dictionary, and add any features you want as keys. Any UTF-8 string is a valid feature name.

For example, to have 'unfinished_feature' hidden in production but active in development:

class ProductionConfig(Config):

    FEATURE_FLAGS = {
        'unfinished_feature' : False,
    }


class DevelopmentConfig(Config):

    FEATURE_FLAGS = {
      'unfinished_feature' : True,
    }

Note: If a feature flag is used in code but not defined in FEATURE_FLAGS, it's assumed to be off. Beware of typos.

If you want your app to throw an exception in dev when a feature flag is used in code but not defined, add this to your configuration:

RAISE_ERROR_ON_MISSING_FEATURES = True

If app.debug=True, this will throw a KeyError instead of silently ignoring the error.

Usage

Controllers/Views

If you want to protect an entire view:

from flask import Flask
import flask_featureflags as feature

@feature.is_active_feature('unfinished_feature', redirect_to='/old/url')
def index():
  # unfinished view code here

The redirect_to parameter is optional. If you don't specify, the url will return a 404.

If your needs are more complicated, you can check inside the view:

from flask import Flask
import flask_featureflags as feature

def index():
    if feature.is_active('unfinished_feature') and some_other_condition():
        # do new stuff
    else:
        # do old stuff

Templates

You can also check for features in Jinja template code:

{% if 'unfinished_feature' is active_feature %}
    new behavior here!
{% else %}
    old behavior...
{% endif %}

Using other backends

Want to store your flags somewhere other than the config file? There are third-party contrib modules for other backends.

Please see the documentation here: https://flask-featureflags.readthedocs.org/en/latest/contrib.html

Feel free to add your own - see CONTRIBUTING.rst for help.

Customization

If you need custom behavior, you can write your own feature flag handler.

A feature flag handler is simply a function that takes the feature name as input, and returns True (the feature is on) or False (the feature is off).

For example, if you want to enable features on Tuesdays:

from datetime import date

def is_it_tuesday(feature):
  return date.today().weekday() == 2:

You can register the handler like so:

from flask import Flask
from flask_featureflags import FeatureFlag

app = Flask(__name__)

feature_flags = FeatureFlag(app)
feature_flags.add_handler(is_it_tuesday)

If you want to remove a handler for any reason, simply do:

feature_flags.remove_handler(is_it_tuesday)

If you try to remove a handler that was never added, the code will silently ignore you.

To clear all handlers (thus effectively turning all features off):

feature_flags.clear_handlers()

Clearing handlers is also useful when you want to remove the built-in behavior of checking the FEATURE_FLAGS dictionary.

To enable all features on Tuesdays, no matter what the FEATURE_FLAGS setting says:

from flask import Flask
from flask_featureflags import FeatureFlag

app = Flask(__name__)

feature_flags = FeatureFlag(app)
feature_flags.clear_handlers()
feature_flags.add_handler(is_it_tuesday)

Chaining multiple handlers

You can define multiple handlers. If any of them return true, the feature is considered on.

For example, if you want features to be enabled on Tuesdays or Fridays:

feature_flags.add_handler(is_it_tuesday)
feature_flags.add_handler(is_it_friday)

Important: the order of handlers matters! The first handler to return True stops the chain. So given the above example, if it's Tuesday, is_it_tuesday will return True and is_it_friday will not run.

You can override this behavior by raising the StopCheckingFeatureFlags exception in your custom handler:

from flask_featureflags import StopCheckingFeatureFlags

def run_only_on_tuesdays(feature):
  if date.today().weekday() == 2:
    return True
  else:
    raise StopCheckingFeatureFlags

If it isn't Tuesday, this will cause the chain to return False and any other handlers won't run.

Acknowledgements

A big thank you to LinkedIn for letting me opensource this, and for my coworkers for all their feedback on this project. You guys are great. :)

Questions?

Feel free to ping me on twitter @trustrachel or on the Github project page.

Comments
  • add flask_featureflags.contrib sub package in install script

    add flask_featureflags.contrib sub package in install script

    This changeset fixes the installed packages. Previously, flask_featureflags.contrib sub packages (including inline and sqlalchemy) were not installed through pip install flask-featureflags.

    opened by iromli 6
  • Signal for missing keys

    Signal for missing keys

    I want to add the key to my sqlalchemy database if it does not exist in any other handler. I can listen to some flask signal in this case to do that.

    Is it a good idea? I can work on it, but maybe others have better ideas about how to handle it.

    opened by iurisilvio 5
  • Update __init__.py to fix ExtDeprecationWarning

    Update __init__.py to fix ExtDeprecationWarning

    This is the fix the following warning which happens whenever the module is loaded: ExtDeprecationWarning: Importing flask.ext.featureflags is deprecated, use flask_featureflags instead. from flask.ext.featureflags import NoFeatureFlagFound, log

    opened by Naishy 3
  • Add contrib modules to setup.py

    Add contrib modules to setup.py

    Was trying to use InlineFeatureFlag (as described here), but found that the contrib modules weren't being included. Small change to setup.py fixes it.

    opened by pcraig3 3
  • SQLAlchemy handler

    SQLAlchemy handler

    My proposal to make an SQLAlchemy handler.

    You just need a SQLAlchemy instance (from Flask-SQLAlchemy extension) and a check method in the model.

    from flask import Flask
    from flask.ext.sqlalchemy import SQLAlchemy
    from flask.ext.featureflags import FeatureFlag
    from flask.ext.featureflags.contrib.sqlalchemy import SQLAlchemyFeatureFlags
    
    app = Flask(__name__)
    db = SQLAlchemy(app)
    handler = SQLAlchemyFeatureFlags(db)
    
    ff = FeatureFlag(app)
    ff.add_handlers(handler)
    
    opened by iurisilvio 3
  • Feature flag application backend

    Feature flag application backend

    As a fellow lover of python and flask, and having written a feature-switching backend application with an administrative UI, I would like to contribute an integration between the two. Is that something you'd be interested in?

    https://github.com/giftig/flippy

    I was actually inspired by gargoyle / django-gargoule when writing flippy, which worked very similarly to your lib.

    I'm genuinely not sure why I've never written my own python connector to it.

    opened by giftig 2
  • consistent version in __init__.py and setup.py

    consistent version in __init__.py and setup.py

    Previously, flask_featureflags.__version__ is set to 0.4dev while setup.py is set to 0.7-dev. This changeset ensures consistent version found in flask_featureflags.__version__ and setup.py.

    You can check the version in Python shell:

    >>> import flask_featureflags
    >>> print(flask_featureflags.__version__)
    0.7-dev
    

    and using pip freeze:

    $ pip freeze | grep FeatureFlags
    Flask-FeatureFlags==0.7.dev0
    
    opened by iromli 2
  • Add custom handler to add inline feature flags

    Add custom handler to add inline feature flags

    The changesets introduce custom handler for inline feature flags.

    One notable difference is, instead of specifying feature flags in dict-style:

    FEATURE_FLAGS = {
        "finished": False,
    }
    

    the flag must be written in uppercased plain string with FEATURE_FLAGS_X where X is the feature name:

    FEATURE_FLAGS_FINISHED = False
    

    The motivation behind this custom handler is to interopt with other Flask extensions, e.g. Flask-AppConfig.

    opened by iromli 2
  • Adding route definition to example

    Adding route definition to example

    This tripped me up a bit, so thought explicitly stating the order of decorators could help.

    This works (404s):

    @app.route('/feature-flag-test-route')
    @is_active_feature('test_route')
    def feature_flag_test_route():
        return 'on!'
    

    This does not (returns 200, displays 'on!')

    @is_active_feature('test_route')
    @app.route('/feature-flag-test-route')
    def feature_flag_test_route():
        return 'on!'
    
    opened by jskulski 1
  • Raise NoFeatureFlagFound instead of handle missing flags

    Raise NoFeatureFlagFound instead of handle missing flags

    The handler is not responsible to handle the feature flag missing. I expect the KeyError only if it was not found in any handler.

    The current implementation works for only one handler.

    This is my first step to create a custom handler. I want to make the core responsible for missing keys.

    I'm not sure about the exception name. Django use DoesNotExist, SQLAlchemy use NoResultFound, but I tried FeatureFlagNotFound, NotFound, FeatureNotFound and others.

    opened by iurisilvio 1
  • Add argument redirect (optional) to is_active_feature

    Add argument redirect (optional) to is_active_feature

    It's not possible to use url_for() in the decorator call if the app context is not build yet. Therefore this patch adds a new optional argument named redirect to is_active_feature. It's the same as redirect_to but it triggers url_for() right before the redirect.

    opened by michaelcontento 1
  • Fix imports to remove warning per Flask recommendation.

    Fix imports to remove warning per Flask recommendation.

    Flask no longer recommend using the "flask.ext." import style; this change eliminates the warning currently generated by flask when using this extension.

    http://flask.pocoo.org/docs/0.12/extensiondev/#extension-import-transition

    (The 0.12 docs are somewhat contradictory on this, but the confusing text seems to have been removed in the latest dev docs.)

    opened by galund 1
Releases(0.6)
  • 0.6(Jun 10, 2015)

  • 0.5.1(Oct 13, 2014)

    Adding the ability to have feature flags inline instead of in a dictionary, to make it easier to interoperate with other Flask extensions, e.g. Flask-AppConfig.

    A big thank you to Isman Firmansyah (@iromli) for the contribution!

    Source code(tar.gz)
    Source code(zip)
  • 0.5(Aug 7, 2014)

    Official support for contributed modules, thank you to iurisilvio! He contributed the first for SQLAlchemy, so you can store your flags in the database instead.

    Contributions for other storage backends welcome!

    Source code(tar.gz)
    Source code(zip)
  • 0.4(Apr 8, 2014)

    • General code cleanup, modernization and optimization
    • Adding optional redirect to is_active_feature, thank you to michaelcontento
    • Fixed syntax error in docs, thank you to iurisilvio
    Source code(tar.gz)
    Source code(zip)
Owner
Rachel Greenfield
Currently funlancing, Previously Stripe, LinkedIn
Rachel Greenfield
Basic fastapi blockchain - An api based blockchain with full functionality

Basic fastapi blockchain - An api based blockchain with full functionality

1 Nov 27, 2021
Code Specialist 27 Oct 16, 2022
FastAPI client generator

FastAPI-based API Client Generator Generate a mypy- and IDE-friendly API client from an OpenAPI spec. Sync and async interfaces are both available Com

David Montague 283 Jan 04, 2023
A kedro-plugin to serve Kedro Pipelines as API

General informations Software repository Latest release Total downloads Pypi Code health Branch Tests Coverage Links Documentation Deployment Activity

Yolan Honoré-Rougé 12 Jul 15, 2022
Deploy/View images to database sqlite with fastapi

Deploy/View images to database sqlite with fastapi cd realistic Dependencies dat

Fredh Macau 1 Jan 04, 2022
A minimum reproducible repository for embedding panel in FastAPI

FastAPI-Panel A minimum reproducible repository for embedding panel in FastAPI Follow either This Tutorial or These steps below ↓↓↓ Clone the reposito

Tyler Houssian 15 Sep 22, 2022
Toolkit for developing and maintaining ML models

modelkit Python framework for production ML systems. modelkit is a minimalist yet powerful MLOps library for Python, built for people who want to depl

140 Dec 27, 2022
Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡

csrf-starlette-fastapi Dead simple CSRF security middleware for Starlette ⭐ and Fast API ⚡ Will work with either a input type="hidden" field or ajax

Nathaniel Sabanski 9 Nov 20, 2022
Reusable utilities for FastAPI

Reusable utilities for FastAPI Documentation: https://fastapi-utils.davidmontague.xyz Source Code: https://github.com/dmontagu/fastapi-utils FastAPI i

David Montague 1.3k Jan 04, 2023
API for Submarino store

submarino-api API for the submarino e-commerce documentation read the documentation in: https://submarino-api.herokuapp.com/docs or in https://submari

Miguel 1 Oct 14, 2021
Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana

cryptocurrency-prices-grafana Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana About This stack consists of: Prometheus (t

Ruan Bekker 7 Aug 01, 2022
Flood Detection with Google Earth Engine

ee-fastapi: Flood Detection System A ee-fastapi is a simple FastAPI web application for performing flood detection using Google Earth Engine in the ba

Cesar Aybar 69 Jan 06, 2023
A utility that allows you to use DI in fastapi without Depends()

fastapi-better-di What is this ? fastapi-better-di is a utility that allows you to use DI in fastapi without Depends() Installation pip install fastap

Maxim 9 May 24, 2022
FastAPI + PeeWee = <3

FastAPIwee FastAPI + PeeWee = 3 Using Python = 3.6 🐍 Installation pip install FastAPIwee 🎉 Documentation Documentation can be found here: https://

16 Aug 30, 2022
Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Azure Pipelines and Pytests

cookiecutter-fastapi In order to create a template to FastAPI projects. 🚀 Important To use this project you don't need fork it. Just run cookiecutter

Arthur Henrique 225 Dec 28, 2022
A request rate limiter for fastapi

fastapi-limiter Introduction FastAPI-Limiter is a rate limiting tool for fastapi routes. Requirements redis Install Just install from pypi pip insta

long2ice 200 Jan 08, 2023
FastAPI-Amis-Admin is a high-performance, efficient and easily extensible FastAPI admin framework. Inspired by django-admin, and has as many powerful functions as django-admin.

简体中文 | English 项目介绍 FastAPI-Amis-Admin fastapi-amis-admin是一个拥有高性能,高效率,易拓展的fastapi管理后台框架. 启发自Django-Admin,并且拥有不逊色于Django-Admin的强大功能. 源码 · 在线演示 · 文档 · 文

AmisAdmin 318 Dec 31, 2022
flask extension for integration with the awesome pydantic package

flask extension for integration with the awesome pydantic package

249 Jan 06, 2023
Lazy package to start your project using FastAPI✨

Fastapi-lazy 🦥 Utilities that you use in various projects made in FastAPI. Source Code: https://github.com/yezz123/fastapi-lazy Install the project:

Yasser Tahiri 95 Dec 29, 2022
Simple example of FastAPI + Celery + Triton for benchmarking

You can see the previous work from: https://github.com/Curt-Park/producer-consumer-fastapi-celery https://github.com/Curt-Park/triton-inference-server

Jinwoo Park (Curt) 37 Dec 29, 2022