About

Bitmapist is:

[A] Python library [that] makes it possible to implement real-time, highly scalable analytics that can answer the following questions:

• Has user 123 been online today? This week? This month?

• Has user 123 performed action “X”?

• How many users have been active this month? This hour?

• How many unique users have performed action “X” this week?

• What % of users that were active last week are still active?

• What % of users that were active last month are still active this month?

• Which users performed action “X”?

Installation

$ pip install flask-bitmapist

Usage

Example app:

from flask import Flask
from flask_bitmapist import FlaskBitmapist, mark

app = Flask(__name__)

flaskbitmapist = FlaskBitmapist()
flaskbitmapist.init_app(app)

@app.route('/')
@mark('index:visited', 1)  # current_user.id
def index():
    """using the mark decorator, the first argument is the event
       and the second is the id of the current_user
    """
    return 'Hello, world!'

if __name__ == '__main__':
    app.run()

For documentation on the mark decorator, look at the mark_event Bitmapist function.

Config

Cohort Blueprint

One of the nice things about Bitmapist is its simple bit operations API and the data cohort that you get. For more information about the cohort, visit the Bitmapist README.

When you initialize the flask-bitmapist extension, a blueprint is registered with the application.

Tests

To run the tests, ensure that you have Redis running on port 6399:

$ redis-server --port 6399

Then you can simply run:

$ python setup.py test

To seed fake data for testing, run:

$ python scripts/seed.py

Documentation

The full Flask-Bitmapist documentation is available at ReadTheDocs.

Contributing

If you’re interested in contributing to Flask-Bitmapist, get started by creating an issue here. Thanks!

Release History