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

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

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

• Python 2.7.X Nota bene: install python-devel/python-dev if you're using a package manager such as yum or apt-get. The following command should then print a path. If this command raises an exception, make sure that you have python-devel/-dev for your installed version of python installed:

    python -c 'from distutils.sysconfig import get_makefile_filename as m; print m()'
  

• gcc Install gcc For OS X users, installing the OS X developer tools is probably the easiest way to do this. The following command should not throw an error:

    gcc -v
  

• pip Install pip; here are pip's installation instructions. The following command should not throw an error:

    pip -V
  

• node.js (needed to run tests): Install node, preferably via nvm The following command should not throw an error:

    node -v
  

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.

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

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

    git clone https://github.com/metacademy/metacademy-application.git
   

4. Go to the metacademy-application directory

    cd metacademy-application
   

5. 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.

6. Verify the installation

    make test
   

The following tasks are not neccessarily needed to run Metacademy.

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 app_server/manage.py createsuperuser

You can leave the virtual environment again simply by invoking

deactivate

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

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/

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

    source ../meta_venv/bin/activate
   

2. Start the development server

    python app_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.