Examples for using Effect
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.


Effect Examples

This repository contains examples of using Effect. They demonstrate basic use of Effect to isolate side-effects from code, but also to provide alternative implementations of those side-effecting actions without requiring changes to core application logic.

This package isn't meant to be installed, but rather just copied to your local dev environment and tinkered with. To install dependencies use pip install -r requirements.txt.


The http directory contains a very simple HTTPRequest intent and performers using common HTTP client libraries: requests and treq.

treq is a Twisted-based library, showing that Effect can be used (with the additional txeffect package) to write generic code that can use either Twisted-based asynchronous IO or normal blocking IO. Other asynchronous frameworks (such as Python 3's asyncio) could also be used in this way.


The readline_intent.py file has a simple ReadLine intent that uses raw_input (or input in Py3) to prompt the user for input.


The github directory contains a simple application that lets the user input a GitHub username and prints out a list of all repositories that that user has access to. It depends on the http and readline_intent modules.

Note that if you run this example too rapidly, GitHub might temporarily block your IP from making anonymous API requests for some short period of time.

There are two entrypoints into the example: github.sync_main and github.twisted_main. sync_main does typical blocking IO, and twisted_main uses asynchronous IO. Note that the vast majority of the code doesn't need to care about this difference; the only part that cares about it is the *_main.py files. All of the logic in core.py is generic.

To run them:

python -m github.sync_main


python -m github.twisted_main

Note that the twisted example does not run on Python 3, but all other examples do.

The github example app has unit tests in test_core.py. They can be discovered and run simply by running py.test in the top-level directory.