Difference between revisions of "OLP SOC Ideas Page"

Revision as of 08:56, 9 August 2012

This page lists some ideas for Google Summer of Code 2012 projects for the Open Lighting Project. You can use these ideas as a basis for your application, or come up with something different. Please see the Google SOC site for the 2012 timeline. If you would like to discuss any of these ideas, or are thinking of applying to work with us, please send an email to the Open Lighting List introducing yourself.

Port to Android

Android is an obvious target for OLA. Not only does it make perfect sense to use phones & tablets and lighting control interfaces but the Android platform could be used to build embedded lighting control devices.

This project would include:

• Adding a Java client
• Building OLA as a Android Application
• Writing a frontend in Java

Skills Required: C++, Java, Android
Estimated Difficulty: Hard

Port to Windows Platforms

This is the most requested 'feature' and would significantly expand the reach of the project. The current, supported method of running OLA on Windows is using VMWare (instructions). This is sub optimal, since it requires the use of non-free software, is challenging for users without unix command line experience, and doesn't allow Windows applications to communicate with OLA. Work on a Windows port commenced in mid 2011 (see these Notes), but was postponed due to lack of resources.

This project would include:

• Refactoring the base classes under common/network to use the Windows network & event management APIs and ensuring that all unit tests pass.
• Cleaning up various parts of the code which use POSIX APIs (see http://code.google.com/p/linux-lighting/issues/detail?id=139 for an example)

A Windows port would enable lighting controller applications like QLC and D::Light to move to OLA entirely, and not have to maintain their own plugins.

Skills Required: C++, Windows Network Programming & Windows Event Handling
Estimated Difficulty: Hard

Asynchronous Web Notification of RDM Messages

Thanks to sites like GMail and Facebook, users have come to expect asynchronous notification of events in their web browser. RDM enabled lighting devices can generate events such as Over Temperature and Lamp Faulty so it would be nice to alert the users to this. This project would involve work with two Open Source efforts. The student would need to work with libmicrohttpd to add WebSocket support (see the email thread).

The second step would involve using WebSockets to deliver events to the browser, and building a UI to notify the user. The OLA UI is built with Google Closure.

Skills Required: C++, Network Programming, Javascript, HTML, Google Closure
Estimated Difficulty: Medium

Web Based Configuration of Preferences

User Preferences for OLA are stored in text files but the web UI provides no method for changing any preferences beyond port patchings. At the moment the user is required to stop the OLA Daemon, exit the text files and restart if settings are to be changed. This project would involve building a generic preference store and exposing it through the web UI. Changing preferences on the fly is likely to expose bugs in some of the OLA plugins. These will need to be fixed.

Skills Required: C++, Javascript, HTML
Estimated Difficulty: Easy

Web Based RDM Tests & Integration with the RDM Index

The Automated RDM Responder Tests have been very popular in the industry and are used by many manufacturers to test their products prior to release. At the moment the tests are run from the command line and rely on the test engineers to write scripts to post process the test output. Building a web UI for the tests would make them easier to use for the manufacturers and give us the ability to provide more control over how the tests are run.

The second part of this project covers the RDM Product Index, a website that collects information on RDM enabled products and make it freely available. The work would be to expand the model_collector.py script to automatically upload new responder data to the site, and build a system for a human to sanity check the new data before publishing it.

Skills Required: Python, HTML, Javascript
Estimated Difficulty: Easy