metacademy / metacademy-application

Metacademy.org's application code
http://www.metacademy.org
GNU General Public License v3.0
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Build Status

Metacademy Logo

This source is licensed under GPLv3, see LICENSE.txt (Note: Metacademy's content is CC BY SA 3.0).

Demo

Metacademy is live at http://www.metacademy.org.

Installation

Windows

For Windows installation/requirements, please see the README located in /windows. These instructions here presume a *nix or OS X OS.

Preliminary requirements

Mac OS X and *nix

  1. Create an empty top-level Metacademy directory in a desired location, e.g. mkdir -p ~/MyProjects/metacademy.

It will be used for (1) the actual application, (2) storing the database and (3) the respective virtual Python environment.

  1. Go to the top-level Metacademy directory cd ~/MyProjects/metacademy

  2. From your top-level Metacademy directory, clone the application repo:

    git clone https://github.com/metacademy/metacademy-application.git
  3. Go to the metacademy-application directory

    cd metacademy-application
  4. Install the Metacademy application (Note: this project uses a virtual environment for development):

    make

    During the process confirm to load the initial dataset with yes.

    Your Metacademy project directory now also contains the local_dbs and meta_venv directories.

  5. Verify the installation

    make test

Optional

The following tasks are not neccessarily needed to run Metacademy.

Load metacademy.org data

Load the public data from metacademy.org

python server/manage.py loaddata dev_utils/graph_data.json

Create a Django superuser

A Django superuser will allow you to login at /admin to perform additional management tasks.

Given you are still in the metacademy-application directory, activate the virtual environment first.

source ../meta_venv/bin/activate

Then create the Django superuser.

python server/manage.py createsuperuser

You can leave the virtual environment again simply by invoking

deactivate

Very Optional

Install numpy and pandas manually

They are needed for some legacy/aux function calls.

Note: These dependencies should already be part of the virtual environment by running make above. Make sure to activate the virtual environment before continuing.

pip install numpy

pip install pandas

Install scipy dependency

Some of Metacademy's ancillary functions currently depend on scipy. Scipy can be tricky to install, so we have made it an optional dependency. pip install scipy won't work unless you have all of the system-level dependencies.

Please refer to the official Scipy installation instructions to set it up for your Operating System / Linux Distribution.

Once you have scipy installed on your machine, link its site-packages folder to your virtual environment's lib/python2.7/site-packages/ folder.

From within the meta_venv directory it could read

ln -s /usr/local/lib/python2.7/site-packages/scipy lib/python2.7/site-packages/

or still from within the metacademy-application directory on a 64 bit RHEL-based system similiar to

ln -s /usr/lib64/python2.7/site-packages/scipy ../meta_venv/lib64/python2.7/site-packages/

Execution

Mac OS X and *nix

  1. Start the virtual environment. You must do this for each new session.

    source ../meta_venv/bin/activate
  2. Start the development server

    python server/manage.py runserver 8080
  3. Open localhost:8080 in a modern JavaScript-enabled browser

Note: The initial search may take some time while the backend loads the graph into memory, but all subsequent pages should load much quicker.

If you have any problems with this installation, please submit an issue at https://github.com/metacademy/metacademy-application/issues?state=open.