Technologies used:

• Flask for web-server.
• Sqlalchemy for ORM.
• Mysql for production db.
• sqlite for development db.
• Celery for launching tasks.
• Redis for storing celery task information.

Roster Generation for Daily Fantasy Sports: We developed a standalone application to generate optimal Rosters (fantasy team) for entry into daily fantasy tournaments. The objectives were to; generate teams of players that met the position constraints of the sport, were under the salary cap and would yield high fantasy points. The software infrastructure consisted of four parts; 1) Data-acquisition: crawling the web for updated vegas odds, MLB game statistics and fantasy salaries 2) Data-ingestion: storing the data found in 1) into an SQL database, 3) Training machine learning models to predict daily fantasy points per player and 4) Generating a set of optimal rosters based on predicted fantasy points per player.

0. Purchase Mac.

1. Create a virtualenv. Make sure your python3 is python3.6 (or latest version)

   $ virtualenv --python=/usr/local/bin/python3 env

2. Activate virtualenv.

   $ source env/bin/activate

3. Install all packages using pip.

   $ pip install -r requirements.txt

4. Fix DataTables module (TEMPORARY).

   $ cp -r pypi_modules/datatables env/lib/python3.6/site-packages

5. Create database tables. $ ./manage.py create_all

redis-server must be running for celery tasks to work.

6. Install and start redis.

    $ brew install redis
    $ brew services start redis

7. Copy redis plists.

   $ cp /usr/local/Cellar/redis/3.2.3/homebrew.mxcl.redis.plist ~/Library/LaunchAgents/

8. Run the following command to auto-run redis-server on startup.

   launchctl load ~/Library/LaunchAgents/homebrew.mxcl.redis.plist

9. Test if Redis server is running. If it replies, $ PONG, you're good~!

   $ redis-cli ping

To run the server, do:

$ make run

This will launch a Flask server and access it from http://localhost:5000.

Launch celery tasks in the background for mlbgame update, rotoguru, etc.

$ make celery