The Turbulenz local Python package provides a locally hosted web server for development of projects using the Turbulenz Engine.
The web server allows developers to work offline or rapidly iterate on their game development whilst still providing all the API's and features of the Turbulenz services on turbulenz.com and the web hosted development Turbulenz Hub
In addition to providing the Turbulenz Services APIs the server provides features such as game http request metrics, asset browsers, asset dissassemblers and the ability to launch an asset viewer from the asset browser.
The latest release is 1.1.6 which can be found here https://pypi.python.org/pypi/turbulenz_local/1.1.6
A full history of changes can be found in the Changelog
The recommended paths for using Turbulenz Local is to either install the Turbulenz SDK from the Turbulenz Hub, or clone the Open Source Turbulenz Engine repository and follow it's setup guide. Both of these methods will install Turbulenz Local and its dependencies from PyPi using VirtualEnv, however you can also install Turbulenz Local globally on your system or via similar virtual environment packages using Python package managers like SetupTools and pip.
Once installed the local_server command will be available in your environment, local_server --help will give
details on the available commands.
Turbulenz Local runs from a home folder where it stores all configuration data and data for the Turbulenz Services
such as leaderboard data, badge data, metrics etc. Specifying --home <path> will set the path for all other
commands, the default is a folder called devserver relative to the folder the script is run from.
To initialize a local server home folder (default configuration files etc) use local_server --init
To launch Turbulenz Local use --launch with the optional --development if you wish to run the server in
development mode (auto restart on code changes, debug callstacks when crashing etc)
The remaining commands are primarily related to repackaging
Full documentation for the usage of Turbulenz Local can be found in the Turbulenz Engine docs at http://docs.turbulenz.com/local/index.html
This documentation is built from the Turbulenz Engine repository
The only dependencies for using Turbulenz Local are Python 2.7.x and a number of Python packages. These additional packages will be automatically installed as dependencies when the Turbulenz Local package is installed with a Python package manager.
The distributed versions of Turbulenz Local on PyPi include optimized compacted JavaScript and HTML for the front-end
of the server. The local_server command includes --compile and --clean targets to perform these
optimizations. But has dependencies on the YUICompressor and UglifyJS which are not provided by default in the
repository. The locations of the YUICompressor JAR file and the UglifyJS script can be provided as parameters to the
local_server command.
In addition the YUICompressor will require Java to be installed and UglifyJS requires NodeJS to be installed.
After running --compile the setup.py script will bundle all the generated optimized files with the package. The
package can also be built without the optimized files however they are recommended.
Turbulenz Local is licensed under the MIT license
Our contributors are listed here
Contributions are always encouraged whether they are small documentation tweaks, bug fixes or suggestions for larger changes. You can check the issues or discussion forums first to see if anybody else is undertaking similar changes.
If you'd like to contribute any changes simply fork the project on Github and send us a pull request or send a Git patch to the discussion forums detailing the proposed changes. If accepted we'll add you to the list of contributors.
We include a .pylintrc file in the repository which allows you to check your code conforms to our standards. Our documentation is built from the Turbulenz Engine open source repository so please consider how your changes may affect the documentation.
Note: by contributing code to the Turbulenz Local Development Server project in any form, including sending a pull request via Github, a code fragment or patch via private email or public discussion groups, you agree to release your code under the terms of the MIT license that you can find in the LICENSE file included in the source distribution.