The purpose of this program is to reduce the large number of line items in a detailed billing file to a daily/monthly summary.

• Downloads direct from your billing bucket
• Displays a monthly summary including daily total, % daily difference, running total
• Emails the monthly summary to a list of recipients
• processes uploaded billing zip files
• provides a summary csv for download
• basic js graphing
• flask caching - for those large reports
• added support for UnBlendedCost or Cost report formats - its a kludge but it works

• a better ui - to replace the crappy one monk-ee knocked up
• administrative panel
• json gui

• You will need to fill out the configuration data in the config.yml.sample and save it as config.yml

• s3

• account_number : '' #your Amazon Account number

• billing_bucket : '' #the name of your billing bucket

• name : '' #the name of your administrative account user - currently not used

• aws_access_key : '' #user access key

• aws_secret_key : '' #user secret key

• smtp

• name : '' # name of account user - ses specific - currently not used

• user : '' # user account for smtp auth

• password : '' # user password for smtp auth

• server : '' # smtp server without port

• sender_address : 'me@mysite.com' #smtp from address

• port : '587' # we always engage tls

• recipients: # this is an array of accounts

• address : 'test@test.com'

• general:

• format : 'standard' # we have noticed that there are different formats for the bills

• filter: ''

• debug : 'True' # bugginess to be reported

• cache:

• timeout: '600'#the length of time you want your pages cached

• scheduler:

• hourly_interval: '4' #the interval at which the scheduler runs

• logfile: 'nhdh.log' # a log file mainly for scheduler actions

• on the AWS side you will need to ensure that the S3 billing bucket has a policy to allow access to it and that programmatic access to billing is enabled.

• resolve all dependencies

• you can change the port in the runserver.py

• Flask==0.10.1
• Jinja2==2.7.1
• Werkzeug==0.9.4
• wsgiref==0.1.2
• boto==2.19.0
• numpy==1.8.0
• pandas==0.12.0
• PyYAML==3.10
• Flask-Cache==0.12
• APScheduler==2.1.1

(Only debian/ubuntu instructions for now until I test it all out on RHEL)

Ensure you can build the required python libs by installing python development libraries:

sudo apt-get install python-dev

Install the required python libraries:

sudo pip install -r requirements

Run it up:

python runserver.py

Test by going to: http://localhost:5000/ or http://yourservername:5000/

To run the scheduler:

Run:

./scheduler.py

TODO... TOOHARD

• You'll need Microsoft Visual Studio if you want to compile the pandas and numpy python libraries yourself.
• You can download precompiled versions of pandas and numpy from pypi site
• pip for windows is easy too https://sites.google.com/site/pydatalog/python/pip-for-windows

Screenshot of home view:

Screenshot of daily summary view:

Screenshot of daily graph view:

Screenshot of email body:

• @monkee_magic - hidden code development - poor html and css
• @geekpetedotcom - hidden code and quality control
• @linkthief - the stuff that everyone sees
• @dizzy_thinks - mad refactoring skills