openoni is a community maintained project developed from chronam, the Django application that the Library of Congress uses to make its Chronicling America website. The Chronicling America website makes millions of pages of historic American newspapers that have been digitized by the National Digital Newspaper Program (NDNP) browsable and searchable on the Web. A little bit of background is needed to understand why this software is being made available.

NDNP is actually a partnership between the Library of Congress, the National Endowment for the Humanities (NEH), and cultural heritage organizations (awardees) across the United States who have applied for grants to help digitize newspapers in their state. Awardees digitize newspaper microfilm according to a set of specifications and then ship the data back to the Library of Congress where it is loaded into Chronicling America.

Awardee institutions are able to use this data however they want, including creating their own websites that highlight their newspaper content in the local context of their own collections. The idea of making openoni available here on Github is to provide a technical option to these awardees, or other interested parties who want to make their own websites of NDNP newspaper content available. openoni provides a core set of functionality for loading, modeling and indexing NDNP data, while allowing you to customize the look and feel of the website to suit the needs of your organization.

The NDNP data is in the Public Domain and is itself [available] (http://chroniclingamerica.loc.gov/data/batches/) on the Web for anyone to use. The hope is that the openoni software can be useful for others who want to work with and/or publish the content.

System level dependencies can be installed by following these operating system specific instructions:

• install_ubuntu.md
• install_redhat.md

After you have installed the system level dependencies you will need to install some application specific dependencies, and configure the application.

First you will need to set up the local Python environment and install some Python dependencies:

cd /opt/openoni/
virtualenv ENV
source /opt/openoni/ENV/bin/activate
cp conf/openoni.pth ENV/lib/python2.6/site-packages/openoni.pth

(There is another small difference here between RedHat and Ubuntu, you may need to change the 2.6 above to a 2.7)

pip install -U distribute
pip install -r requirements.pip

Next you need to create some directories for data:

mkdir /opt/openoni/data/batches
mkdir /opt/openoni/data/cache
mkdir /opt/openoni/data/bib

And you will need a MySQL database. If this is a new server, you will need to start MySQL and assign it a root password:

sudo service mysqld start
/usr/bin/mysqladmin -u root password '' # pick a real password

You will probably want to change the password 'pick_one' in the example below to something else:

echo "DROP DATABASE IF EXISTS openoni; CREATE DATABASE openoni CHARACTER SET utf8; GRANT ALL ON openoni.* to 'openoni'@'localhost' identified by 'pick_one'; GRANT ALL ON test_openoni.* TO 'openoni'@'localhost' identified by 'pick_one';" | mysql -u root -p

You will need to use the settings template to create your application settings. Add your database password to the settings.py file:

cp /opt/openoni/settings_template.py /opt/openoni/settings.py

For Django management commands to work you will need to have the DJANGO_SETTINGS_MODULE environment variable set. You may want to add this to your ~/.profile so you do not need to remember to do it everytime you log in.

export DJANGO_SETTINGS_MODULE=openoni.settings

Next you will need to initialize database schema and load some initial data:

django-admin.py syncdb --noinput
django-admin.py openoni_sync

And finally you will need to collect static files (stylesheets, images) for serving up by Apache in production settings:

django-admin.py collectstatic --noinput

As mentioned above, the NDNP data that awardees create and ship to the Library of Congress is in the public domain and is made available on the Web as batches. Each batch contains newsaper issues for one or more newspaper titles. To use openoni you will need to have some of this batch data to load. If you are an awardee you probably have this data on hand already, but if not you can use a tool like wget to bulk download the batches. For example:

cd /opt/openoni/data/
wget --recursive --no-host-directories --cut-dirs 1 --reject index.html* --include-directories /data/batches/batch_uuml_thys_ver01/ http://chroniclingamerica.loc.gov/data/batches/batch_uuml_thys_ver01/

In order to load data you will need to run the load_batch management command by passing it the full path to the batch directory. So assuming you have downloaded batch_dlc_jamaica_ver01 you will want to:

django-admin.py load_batch /opt/openoni/data/batches/batch_uuml_thys_ver01

If this is a new server, you may need to start the web server:

sudo service httpd start

After this completes you should be able to view the batch in the batches report via the Web:

http://www.example.org/batches/

For the unit tests to work you will need to have the batch_dlc_jamaica_ver01 available. You can use the wget command in the previous section to get get it. After that you should be able to:

cd /opt/openoni/
django-admin.py test core

This software is in the Public Domain.