Linear and Integer Optimization App

This is the source code for the app at http://online-optimizer.appspot.com.

Getting started

First install the prerequisites:

• Git
• python
• pip
• Google App Engine SDK.
• UglifyJS.
• Node.js.

Check out the source code for the app:

git clone https://github.com/yozw/lio-ng.git

This will create a new directory, called lio-ng. Change the working directory to lio-ng and run the setup.sh script: (This script installs python dependencies for Google App Engine into subdirectories of lio-ng)

cd lio-ng
./setup.sh

Scripts

The main source directory contains several useful scripts:

• devserver.sh starts a local development server for the app at http://localhost:8080.
• prodserver.sh builds the application for deployment and starts the production server locally at http://localhost:8080.
• make.sh builds the application for deployment.
• deploy-prod.sh builds the application for deployment, and deploys it to the production server.
• deploy-test.sh builds the application for deployment, and deploys it to the test server.

Directory structure

The directory structure is as follows:

• src/ contains the source code for the app.
• test/ contains unit tests (which use the Karma framework; see below).

Running unit tests

The tests are run using the Karma framework. Once Node.js is installed (see above), Karma may be installed as follows:

npm install -g karma

(The flag -g indicates a global installation; this will install Karma into your global node_modules directory. Removing -g results in a local installation, i.e., it will install Karma into your current directory's node_modules.)