Updated fabfile.py make deploy a little bit more versatile. Also supposts deploy to prod (though deploy to prod is untested).
Added basic logging function, returns logger, takes in logger name / file name
Added logging messages to redis and retoracle
Finished adding logging statements
fixed some bugs in the deployment scripts. deployment to production now works.
Merge branch 'master' of https://github.com/sazlin/rheTOracle

Adding logging to current master
Updated README for reTOracle
Added ability to run scripts locally against the Test DB and a local redis server (assuming redis is installed and running).
Installed markdown and updated reTOracle's about page.
Polished up the site: changed the spelling of rhetoracle to retoracle throughout, overhauled the about page, removed the contact page from the site's nav since it's redundant with our contact info in the about page.
Couple tweaks for deployment.
Added verbosity levels to logging
Fixed error messages so they include traceback messages
Successfully added argparse to set verbosity level
Updated Fab file to change owner of retoracle.log to ubuntu, so we can write to it
Added SA_Mapper.py with POC code that reads in batches of tweets that need sentiment data and then adds a record with fake data one by one.
Updated SA_Mapper.py to now continuously grab batches of tweets and fake-process them. It also restricts itself to one batch per 5 seconds, which eventually will be important when there aren't that many tweets per batch.
refactored sa_mapper.py to be a basic POC mapper script that hadoop would actually want. created a new sa_worker.py script that now includes some incomplete POC code for using EMR + S3 to set some fake data.
Fleshed out EMR portion of SA_Worker.py. Ready to start testing.
Adding print statements for debugging (logging isn't in master yet) and fleshing out SA_* scripts to debug EMR job failures.