#djifts

##Overview This is a Django/Python web application currently in development. The goal of this project is to collect data from NHL games related to player line combinations and aggregate statistics to measure the performance of these line combinations. The stats that we will measure are goals, shots, hits, shot blocks, and ice time. By collecting data from each hockey game over the course of a season, we can determine the lines that are the top performers in each of these statistical categories. The plan is to allow users to view lists of top performing lines over various lengths of time and on various scopes: league-wide, team-wide, and game-wide.

```
pip install -r requirements.txt
```

Requires Python 2.7, Django 1.5.1, and the following python modules: BeautifulSoup, requests, nameparser

#The Applications

###API: Delivers json data upon request

```
/api/get_game_list/ - request headers for all loaded game data
/api/get_game_list/[team_initials] - request headers for a specific team's loaded data
/api/get_game_data/[game_id] - request game-level data 
```

###Datamanager: Includes methods used for downloading, processing, and storing data.

• models.py - stores game headers and methods to load game data.
• utility.py - primary methods for loading game data includes importing
  shift times, calculating line combinations, and writing to database.
• eventprocessor.py - special utility module that implements a class for importing data regarding the different 'event types' occurring during the game (shots, hits, blocks, goals)

###Games: Includes models and views for interacting with data on a "game" level.

###Teams:
Includes models and views for interacting with data on a "team" level.

###Players:
Includes models and views for interacting with data on a "player" level.

#Next Steps

• Look into improving GameProcessor queries with a Manager
• Refactor the datamanager app for tighter encapsulation; should make things easier to test
• Implement rigorous testing on line matching logic.
• Need to be particularly vigilent about confirming data being downloaded to the database is correct and implement a rollback system in the event of failure.
• Improve templates and site usability. Need to learn more about Bootstrap and figure out how to design an appealing front-end for the website.
• Try to improve PEP8 compliance
• Need to implement testing structure across the board. Unit tests, integration tests, etc.
• Implement a system to continuously scan the NHL games page and download data for new games as they occur.

#Other things to do

• New GameManager type with a "create" function that inializes a list containing both home team and away team