https://github.com/cody-scott/jje_automation

https://github.com/cody-scott/jje_automation

Last synced: 12 days ago
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• Host: GitHub
• URL: https://github.com/cody-scott/jje_automation
• Owner: cody-scott
• Created: 2019-11-20T02:07:12.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-02-14T04:08:28.000Z (almost 3 years ago)
• Last Synced: 2024-04-18T22:01:18.223Z (7 months ago)
• Language: Python
• Size: 7.88 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Fantasy Hockey Solver

Solving the optimal placement of players and rosters using Google's OR-Tools.

## Constraints

Based on the following input constraints, how should you place players to optimize your fantasy team? Goal is to maximize the point categories

* 3 LW/C/RW, 5 D, 1 Util (rookie), 3 on the Bench, and 1 IR

* Each player can only be in 1 position

* Each player can only hold the positions defined by their position category

By assigning each players possible positions as a boolean variable, the goal is to maximize the placement of players and their stats.

## Model

Based on the placed positions, the BoolVar will take on a 1 or a 0. By multiplying this by the players stats, we can maximize the sum of the categories.

To account for an abnormally skewed category (Hits), the data is normalized between 0 and 100, and cast to an Int.

Un-attainable positions for a player (a players possible positions is a C but the category is a LW) gets an IntVar between 0 and 0. This forces the value to be excluded (0*0=0).

## Usage

To access the Yahoo API, you must get the client ID and secret from the Yahoo Developer Network.

Then deploy to your platform, i chose Deta. Add requirments of the .detaenv to deta deploy

Update the appropriate environment variables in a .env file.  

Run `main.py` to run the program.

Results will print and be saved to Deta Drive.