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Distributed observer pattern for scheduling Celery tasks.

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Triggers

The Triggers framework is an implementation of the observer pattern, designed for distributed stacks.

It allows you to configure and execute asynchronous tasks based on events that are triggered by your application.

For example, suppose you have a survey application, and you want an asynchronous task to run after the user completes steps 1 and 4.

However, you can't guarantee...

  • ... that the same server will process both steps.
  • ... that both steps will arrive in the correct order.
  • ... whether both steps will arrive separately, or at the same time.

The Triggers framework provides a flexible solution that empowers you to schedule an asynchronous task in such a way that you can guarantee it will be executed after steps 1 and 4 are completed.

But, it doesn't stop there! You can also:

  • Configure tasks to wait until other asynchronous tasks have finished.
  • Define conditions that will cause a task to run multiple times.
  • Define conditions that will prevent a task from running.
  • Write functional tests to verify that an entire workflow runs as expected.
  • And more!

Prerequisites

The Triggers framework requires:

  • Python 2.7, 3.5 or 3.6
  • Django (any version, but >= 1.11 preferred)
  • Celery (>= 3, but >= 4 preferred)
  • django-redis-cache
  • python-redis-lock==2.3.0

Currently, the Triggers framework requires Redis in order to function properly, but we are working on removing this requirement in a future version of the framework.

Note that you do not have to use Redis for your primary application cache; you can continue to use your preferred cache backend for your default cache in Django. You'll just need to configure a separate cache connection for the Triggers framework.

At the moment, python-redis-lock must be at v2.3.0; versions later than this cause deadlocks. We are looking into why this is happening and will remove the version requirement once the issue is resolved.

Installation

Install the Triggers framework using pip:

pip install triggers

You can also install from source using the following commands:

pip install -e git+https://github.com/eflglobal/triggers

Running Unit Tests

To run unit tests after installing from source, you will need to do a little bit of one-time prep:

pip install -e '.[test-runner]'
cp tests/settings.py.dist tests/settings.py

Tip

By default, the unit tests expect a Redis server listening on localhost:6379. If necessary, you can change this by editing tests/settings.py.

Once you've set up the test environment, you can run the unit tests with the following command:

python manage.py test

This project is also compatible with tox, which will run the unit tests in different virtual environments (one for each supported version of Python).

To run the unit tests, it is recommended that you use the detox library. detox speeds up the tests by running them in parallel.

Install the package with the test-runner extra to set up the necessary dependencies, and then you can run the tests with the detox command:

pip install -e '.[test-runner]'
detox -v

Important

Currently, tox.ini uses tests/settings.py.dist for the test settings. In particular, this means that all of the unit tests run by tox depend on having a Redis server listening on localhost:6379, and there is currently no way to change this (without voiding the warranty, that is).

This will be fixed in a future version of the library.

Documentation

The Triggers framework documentation is available on ReadTheDocs.

If you are installing from source (see above), you can also build the documentation locally:

  1. Install extra dependencies (you only have to do this once):

    pip install '.[docs-builder]'
    
  2. Switch to the docs directory:

    cd docs
    
  3. Build the documentation:

    make html
    

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