Sven is a django project.

We tested SVEN on ubuntu systems with Python 2.7 and django 1.4.3, under apache2 server with wsgi module. To install virtualenv and virtualenv wrapper from pip, follow the online documentation.

Git! let's assume /path/to/ as the parent path for sven installation

$ cd /path/to/
$ git clone https://github.com/densitydesign/sven.git

Make sure that settings.py file is located at /path/to/sven/settings.py

Once virtualenvwrapper installed, create a virtualenv directory sven.local, activate the virtualenv and install the requirements:

$ source /usr/local/bin/virtualenvwrapper.sh
$ mkvirtualenv sven.local
$ workon sven.local
$ pip install -r requirements.txt

You can use the virtualhost.SAMPLE file to enable sven site for apache server. WSGIScriptAlias directive should point to /path/to/sven/sven.wsgi.

$ sudo a2ensite sven
$ sudo service apache2 reload

Sven site will be available under http://sven.local (your ServerName directive).

You can use the sven.wsgi.SAMPLE file: rename it to sven.wsgi. Make the WSGIScriptAlias directive in your virtualhost point to this file.

Change /path/to/ according to your virtualenv location, e.g. site.addsitedir('/home/daniele/.virtualenvs/sven.local/lib/python2.7/site-packages')

Create a log file for ANTA processes (sven scripts for Pattern library) and make it writable for the apache user.

$ cd /path/to/sven
$ mkdir logs
$ touch logs/anta.log
$ chown -hR your-user:www-data logs
$ chmod 0775 -R logs
$ mkdir media
$ chown your-user:www-data media
$ chmod 0775 media

The directory media will host various documents corpora (one for each folder). Configure the MEDIA_ROOT directive inside the settings.py file accordingly.

You can use the settings.SAMPLE file and modify variables according to your configuration. Make sure that sven.anta and sven.core appear under installed apps.

...
DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.sqlite3', 
        'NAME': '/path/to/sven/sven.db',    
...
INSTALLED_APPS = (
...
	# 'django.contrib.admindocs',
	'sven.anta',
	'sven.core'
)
...

Activate your virtualenv if it is not yet activated:

$ source /usr/local/bin/virtualenvwrapper.sh
$ workon sven.local
$ cd /path/to/sven

Then:

$ python manage.py syncdb

Cross your fingers and go to your sven url...

A corpus is a collection of documents. Standard fidf text analysis will be performed on the whole corpus.