Use the tools appropriate to your operating system to install the following packages. For OSX you can use Homebrew. For Ubuntu you can use Apt.
This script will setup the complete application, except for Solr. Be sure to read the comments, as some steps require opening additional terminals:
# Get source and requirements git clone git://github.com/pandaproject/panda.git cd panda mkvirtualenv --no-site-packages panda pip install -r requirements.txt # Create log directory sudo mkdir /var/log/panda sudo chown $USER /var/log/panda # Create data directories mkdir /tmp/panda mkdir /tmp/panda_exports # Enter "panda" when prompted for password createuser -d -R -S -P panda createdb -O panda panda python manage.py syncdb --noinput python manage.py migrate --noinput python manage.py loaddata panda/fixtures/init_panda.json python manage.py loaddata panda/fixtures/test_users.json # Start PANDA python manage.py runserver
Open a new terminal in the PANDA directory and enter:
# Start the task queue workon panda python manage.py celeryd
Open another terminal in the PANDA directory and enter:
# Run a local email server workon panda fab local_email
Installing Solr can be tricky and will vary quite a bit depending on your operating system. The following will get you up and running on OSX Lion (and probably other versions). If you’ve just started the PANDA server, open a new terminal in the PANDA directory and enter these commands:
# Get into the env workon panda # Fetch the Solr 3.4.0 binaries curl http://archive.apache.org/dist/lucene/solr/3.4.0/apache-solr-3.4.0.tgz -o apache-solr-3.4.0.tgz tar -zxf apache-solr-3.4.0.tgz rm apache-solr-3.4.0.tgz # Create Solr home directory sudo mkdir /var/solr sudo chown $USER /var/solr # Jump back to the directory where you installed PANDA cd ~/src/panda # This command will install all Solr configuration fab local_reset_solr # To start Solr fab local_solr
Your PANDA should now be running at:
A PANDA installed locally will not run through the normal setup mode procudure. Instead, two default users will be created.
You can login using the default user credentials:
Username: firstname.lastname@example.org Password: user
Or the default administrator credentials:
Username: email@example.com Password: panda
To run the unit tests, start Solr and execute the test runner, like so:
# Ensure you are in the PANDA source directory and your virtualenv is active # You may need to customize the fabfile so it can find your Solr installation. fab local_solr # Quite a bit of output will be printed to the screen. # Wait until you see something like # 2011-11-02 14:15:54.061:INFO::Started SocketConnector@0.0.0.0:8983 # Then, open another terminal and change to your PANDA source directory. workon panda python manage.py test panda
PANDA has been “internationalized” so that it can be used by journalists who speak languages other than English. (Because the word internationalization is so long, it is frequently written i18n.)
Generally, PANDA uses Django’s i18n framework, which itself uses Python’s gettext module. Simplistically, the process is to take every literal text message which would be shown to users and wrap that text in a function call which looks up the appropriate translation for the message. Other Django tools can recognize these function calls and automatically add new messages to the translation files (known as PO files).
If you make changes or add translated text, you must remember to rebuild the po files and recompile the messages. This is easily done using fab commands.
When running locally, if you’d like to see your PANDA running in a different language, create or edit the file config/local_settings.py