A Django app to track the nerdiest fantasy basketball league.

Requirements:

• Python (2.7)
• virtualenv
• git
• files with the keys and tokens needed to interact with the Yahoo! Fantasy API

Create a virtualenv for all of the python packages needed, then install those packages.

$ virtualenv cutthecheck
$ cd cutthecheck
$ . bin/activate
$ git clone git@github.com:ryanvmenezes/cutthecheck.git repo
$ cd repo
$ pip install -r requirements

This app populates a small sqlite database. It will be created with all the necessary database tables like so:

$ python manage.py migrate

python manage.py load_salaries

• Downloads the freshest cap hits from spotrac using a BeautifulSoup scraper

python manage.py load_squads --blank

• Populates teams from the Yahoo league and attempts to merge it with existing cap data. The --blank flag creates empty teams. To be able to read from the Yahoo API, you must have keyfile.txt and tokenfile.txt in the base folder.

python manage.py load_draft_file

• Update the draft results from a flat file

python manage.py sum_squad_salaries

• A manual push to save the salaries for each team

python manage.py dump_salaries

• Save the "Salary Bible"

python manage.py dump_draft_file

• Save the progress of the draft

To populate or update the database, run the load command. This shoves data on rosters from the league (using the Yahoo Fantasy API) and cap hits from Spotrac.com (using a BeautifulSoup scraper) into the database. To be able to read from the Yahoo API, you must have keyfile.txt and tokenfile.txt in the base folder.

$ python manage.py load_all

Then fire up the local server. (Ctrl-C to quit it.)

$ python manage.py runserver

Navigate to http://localhost:8000/ to see the site in action and ensure the pages are loaded properly.

Features

• A salary audit for the entire league
• Profile pages for all 10 teams
• The Salary Bible

To build the dozen or so pages as flat files, run the following django-bakery command:

$ python manage.py build

This should create a build/ directory that will hold flatfiles. Running python manage.py buildserver should allow you to navigate the baked-out files.

AWS deployment