Tournament Most Valuable Player calculation

Problem

Tucan Tournament is a tournament where several players compete in several sports. Right now, the sports played are basketball and handball games. They plan to add more sports in the future.

You have been contacted to create a program to calculate the Most Valuable Player (MVP) of the tournament.

You will receive a set of files, each one containing the stats of one game. Each file will start with a row indicating the sport it refers to.

Each player is assigned a unique nickname. Each file represent a single game. The MVP is the player with the most rating points, adding the rating points in all games.

A player will receive 10 additional rating points if their team won the game. Every game must have a winner team. One player may play in different teams and positions in different games, but not in the same game.

Basketball

Each row will represent one player stats, with the format: player name;nickname;number;team name;position;scored points;rebounds;assists

This table details the rating points each player in a basketball game receives depending on her position:

Position	Score	Rebounds	Assists
Guard(G)	2	3	1
Forward(F)	2	2	2
Center(C)	2	1	3

E.g. a player playing as center with 10 scored points, 5 rebounds and no assists will be granted 25 rating points (10*2 + 5*1 + 0*3).

The winner team is the one with more scored points.

Handball

Each row will represent one player stats, with the format: player name;nickname;number;team name;position;goals made;goals received

This table details the rating points each player in a handball game receives depending on her position:

Position	Initial points	Goals made	Goals received
Goalkeeper(G)	50	5	-2
Field player(F)	20	1	-1

E.g. a player playing as goalkeeper with 1 goals made and 10 received will be granted 35 rating points (50 + 1*5 ­ 10*2 = 35).

The winner team is the one with more goals made.

Solution

There is Player type with properties position that is a position in current game and positions that are the positions that player took in all games of a tournament.

The Player.position has two variants: BPosition for basketball positions and HPosition for handball positions. Each position variant implements corresponding calculatePoints algorithm.

The Team type represents team players and team totalPoints calculated in accordance with sport type. The selection of the totalPoints calculation method is done dynamically via mixin. There are three totalPoints calculation mixin: calculateBasketballTotalPoints, calculateHandballTotalPoints and calculateDefaultTotalPoints.

parseBasketball and parseHandball are extensible input statistics file parsers implemented using regular expressions and selected dynamically depending on input file content. These parsers are the only place in the application where new objects Player, BPosition and HPosition are created. All the calculations in the application is done using the same objects and only creating lightweight lists and hash tables for intermediate results. This makes the sorting algorithm efficient.

The Most Valuable Player calculation algorithm:

• For each input statistics game file processGames:
  • readGame from input file
  • parseGame using dynamically selected appropriate parser
  • calculatePlayersPoints applying correct Position.calculatePoints algorithm
  • recalculateWinnersPoints by:
    • grouping players by team
    • caclulateTeamTotalPoints using corresponding totalPoints calculation mixin
    • calculating winnerTeam in accordance with totalPoints
    • addExtraPoints to each player of winnerTeam
• aggregatePlayersPoints by
  • grouping all players in the tournament by nickname
  • aggregatePoints for each nickname
  • save all nickname positions during the tournament
• calculateMVP of the tournament based on Player.points aggregate value

The solution implements efficient sorting algorithm and can be easily extended by:

• adding new Position variants and Position.calculatePoints algorithms
• adding new Team.totalPoints calculation mixins
• adding new input statistics file parsers

The rest of the application should work without changes.

Input

[ games/basketball.txt ]
BASKETBALL
player 1;nick1;4;Team A;G;10;2;7
player 2;nick2;8;Team A;F;0;10;0
player 3;nick3;15;Team A;C;15;10;4
player 4;nick4;16;Team B;G;20;0;0
player 5;nick5;23;Team B;F;4;7;7
player 6;nick6;42;Team B;C;8;10;0

[ games/handball.txt ]
HANDBALL
player 1;nick1;4;Team A;G;0;20
player 2;nick2;8;Team A;F;15;20
player 3;nick3;15;Team A;F;10;20
player 4;nick4;16;Team B;G;1;25
player 5;nick5;23;Team B;F;12;25
player 6;nick6;42;Team B;F;8;25

Output

{ name: 'player 3',
  nickname: 'nick3',
  number: '15',
  position: null,
  points: 82,
  positions:
   [ { sport: 'basketball',
       game: 'games/basketball.txt',
       team: 'Team A',
       position: 'C',
       score: 15,
       rebounds: 10,
       assists: 4,
       winner: true },
     { sport: 'handball',
       game: 'games/handball.txt',
       team: 'Team A',
       position: 'F',
       made: 10,
       received: 20,
       winner: true } ] }

The Most Valuable Player is the player with name player 3 and nickname nick3. The player has 82 points in 2 positions:

• Position C in sport basketball, game games/basketball.txt and winner team Team A
• Position F in sport handball, game games/handball.txt and winner team Team A

Install

$ git clone https://github.com/volodymyrprokopyuk/tournament.git
$ cd tournament
$ npm install
$ node main.js