gvaldap/docs/install.rst

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.. index:: installation
=======
Install
=======
Working Environment
===================
You have several options in setting up your working environment. We recommend
using virtualenv to separate the dependencies of your project from your
system's python environment. If on Linux or Mac OS X, you can also use
virtualenvwrapper to help manage multiple virtualenvs across different
projects.
.. index:: virtualenv
Virtualenv Only
---------------
First, make sure you are using `virtualenv`_. Once that's installed, create
your virtualenv:
.. code-block:: sh
$ virtualenv --distribute gvaldap
.. _virtualenv: https://virtualenv.pypa.io/en/latest/
You will also need to ensure that the virtualenv has the project directory
added to the path. Adding the project directory will allow `django-admin.py` to
be able to change settings using the `--settings` flag.
.. index:: virtualenvwrapper
Virtualenv with virtualenvwrapper
------------------------------------
In Linux and Mac OSX, you can install `virtualenvwrapper
<http://virtualenvwrapper.readthedocs.org/en/latest/>`_, which will take care
of managing your virtual environments and adding the project path to the
`site-directory` for you:
.. code-block:: sh
$ mkdir gvaldap
$ mkvirtualenv -a gvaldap gvaldap-dev
$ cd gvaldap && add2virtualenv `pwd`
.. index:: pip, requirements, dependencies
Installation of Dependencies
=============================
Depending on where you are installing dependencies:
In development:
.. code-block:: sh
$ pip install -r requirements/local.txt
For production:
.. code-block:: sh
$ pip install -r requirements.txt
.. index:: celery, worker, ldap queue
Running the Celery worker
=========================
gvaldap uses the `Celery`_ distributed task queue system. The gvaldap logix is
executed by a celery worker. After all dependencies are installed you can go
into the gvaldap directory and run the celery worker with:
.. code-block:: sh
$ cd gvaldap
$ celery -A gvaldap worker -Q ldap -l info
.. _Celery: http://www.celeryproject.org/