This repo provides a starting point for developing an AI strategy to run on the BattlePy engine.
In BattlePy, Artificial Intelligence agents are pitted against each other in a computerized form of the classic board game Battleship.
Battleship is a two-player game, played on separate 10x10 boards, where each player places ships on their side of the board, and attempts to find the opponent's ships through placement of shots. The players have no starting knowledge of the placement of the oppenent's ships until they score a hit.
Each player is allowed to make one shot per turn, and is told whether their shit hit or missed a ship. Once a ship has been hit on every coordinate it occupies, it is sunk and the firing player is notified which ship was sunk.
The following ships are alloted to each user:
- Carrier (size 5)
- Battleship (size 4)
- Destroyer (size 3)
- Submarine (size 3)
- Patrol Boat (size 2)
The game is won when all of a player's ships have been sunk.
-
Clone the repo
git clone https://github.com/kyokley/BattlePyAI.git cd BattlePyAI -
Create a new virtualenv for the game engine
virtualenv -p python2.7 battlepy source battlepy/bin/activate -
Install the necessary requirements
pip install --upgrade -r requirements.txt -
At this point, you should be able to run battle.py (the testing app). This will run 1000 games of the two sample agents against each other.
python battlepy.py --vis
NOTE: The code for the game engine may change up until the day of the tournament. Therefore, it is a good idea to git pull this repo and re-run step 3 often to ensure that you are running against the latest code.
Your agent must live in a python file (.py).
Before you can start implementing the agent, your code should import the Player base class from the battlepy module, and define a subclass of Player:
from battlePy.player import Player
class SinkTheBizMarkee(Player):
pass
Agent = SinkTheBizMarkeeYour class must be assigned to the name Agent in this file for the engine to discover it. You may choose to name your player class anything you like as long as you also provide a reference to your actual agent code via the name 'Agent'.
But this code isnt enough to play - in fact it will fail since it does not implement the placeShips method properly, and has no implementations for the other methods.
Lets correct that while we look at some of the information available to your agent, and put down placeholders for all the available and required functions that a winning agent should implement..
from battlePy.player import Player
# orientations
from battlePy.ship import UP, DOWN, LEFT, RIGHT
import random
class SinkTheBizMarkee(Player):
def initPlayer(self, *args, **kwargs):
"""Called once per match, not each game."""
self.name = 'Super Sink Shipper v3'
def newGame(self):
"called once per game"
pass
def placeShips(self):
# must place all ships legally.
for ship in self.ships: # self.ships is created by the game engine
if ship.name == "Carrier":
ship.placeShip((5,5), UP)
else:
randx = random.randint(1,10)
ship.placeShip((randx, 5), UP)
def fireShot(self):
"""Called once per turn, you must fire"""
return (0,0)
def shotHit(self, shot, shipName):
"""Called when your shot has hit"""
pass
def shotMissed(self, shot):
"""Called when your shot has missed"""
pass
def opponentShot(self, shot):
"""Called when your opponent shoots"""
pass
def shipSunk(self, shipName):
"""Called when you sink a ship."""
pass
def gameWon(self):
"""Called when you win."""
pass
def gameLost(self):
"""Called when you lose"""
pass
Agent = SinkTheBizMarkeeThe game is played on a 10x10 grid: (0,0) to (9, 9). The bottom-left corner of the grid is (0,0):
.......... (9,9)
..........
..........
..........
..........
..........
..........
..........
..........
(0,0) ..........
At the start of the game, you have no information about the other player.
Every game can be thought of as consisting of 4 phases. Not every phase is required to be implemented but methods are provided to allow flexibility in implementing various AI strategies.
Your agent class is instantiated once, and persists through the life of the match (multiple games).
The initPlayer function allows you to set up any data you need before the start of the first game.
It is legal and encouraged to retain information within your agent between games - a winning agent may need to employ learning strategies for each opponent.
class SuperAwesomeBattlePyAI(Player):
...
def initPlayer(self, *args, **kwargs):
...Before each actual game begins, the newGame method is called. This method may be useful in initializing any variables that need to be set on a per game basis.
class SuperAwesomeBattlePyAI(Player):
...
def newGame(self):
...The placeShips method of each AI is called during this phase. Each player AI has access to a list containing all of their ships in the ships attribute.
class SuperAwesomeBattlePyAI(Player):
...
def placeShips(self):
...Each ship has a placeShip method that can be used to put the ship on the board. The placeShip method expects a point representing the first ship location and an orientation representing the direction of the ship (You should use the ship orientation enumeration from battlePy.ship).
class Ship(object):
...
def placeShip(self, location, orientation):
...You may inspect the name and size of the ship to make decision regarding ship placement:
ship.name
ship.sizeIf any ships are placed illegally, the game engine will call the player's placeShip method again. Each player has 100 attempts to place all of their ships legally. Failure to do so will result in a forfeit.
Example: The agent is placing the battleship(size 4) at (3,3) with orientation UP:
.......... (9,9)
..........
..........
...X......
...X......
...X......
...X<------------(3,3)
..........
..........
(0,0) ..........
During this phase, players take turns firing shots at their opponent's board. By implementing the fireShot method, each player is able to select a cell to fire at. The method is expected to return a 2-tuple representing a horizontal and vertical component. i.e. (x, y).
class SuperAwesomeBattlePyAI(Player):
...
def fireShot(self):
...The game engine will allow invalid shots (shots off the board) as well as shots to previously fired upon locations. Shot management is left to the AI.
After firing a shot, various methods are called on both the offensive and defensive players to allow collection of data. For the offensive player, the shotHit and shotMissed methods are called to reflect whether a ship has been hit or not. The function signatures are as follows:
class SuperAwesomeBattlePyAI(Player):
...
def shotHit(self, shot, shipName):
...
def shotMissed(self, shot):
...For the defensive player, the opponentShot method is called.
class SuperAwesomeBattlePyAI(Player):
...
def opponentShot(self, shot):
...When all of a ship's locations have been hit, the ship is sunk. This calls the shipSunk method on the offensive player to notify it of which ship has been sunk.
class SuperAwesomeBattlePyAI(Player):
...
def shipSunk(self, shipName):
...The game is over when all of a player's ships have been sunk. This calls the gameWon and gameLost methods on the winning and losing players, respectively.
class SuperAwesomeBattlePyAI(Player):
...
def gameWon(self):
...
def gameLost(self):
...In addition to the main rules of the game, there are other conditions that may cause your AI to lose if triggered.
- Use any modules available in the python 2.7 standard library, with these exceptions:
- threading, multiprocessing...
- pdb, traceback, inspect...
-
Any unhandled exceptions will cause the offending AI to lose.
-
Each player has 1 second of computation time per game. Being stuck in a method longer than this will result in a GameClockViolationException being raised.
-
Finally, and most importantly, do not do anything that violates the spirit of the competition. It's easy enough to inspect your opponent's AI instance for the location of all of its ships. But where's the fun in that?
'battle.py' is the testing program - it will let you specify the agents that should play.
python battle.py --help
usage: battle.py [-h] [--p1 <dir.file>] [--p2 <dir.file>] [--vis] [--games N]
[--debug]
BattlePyAI
optional arguments:
-h, --help show this help message and exit
--p1 <dir.file> module name of agent for player 1 (eg, samples.random). See
code for passing args.
--p2 <dir.file> module name w agent code for player 1 (eg, samples.random)
--vis Turn on game visualization(slow)
--games N Number of games to play.
--debug Enable debug behavior.
Running a test
Here is an example usage that tests a new agent file in the working directory (newagent.py) over one of the provided samples (samples/random_player.py):
python battle.py --p1 newagent --p2 samples.random_player --vis
Debugging
In order to facilitate testing, there is a debug mode. In debug mode, the game clock is disabled and unhandled exceptions will cause execution to halt. Debug mode is turned on by setting the optional --debug argument on the command line when running the 'battle' or 'tournament' programs.
Passing parameters to your agent
For testing and experimentation, you may want to give your agent code the ability to change its behavior based on parameters specified for each battle.
You can do this by adding any text-based data you want after the name of the agent module on the command-line, like this:
python battle.py --p1 "newagent random" --p2 samples.random_player --vis
When battle.py runs, it will take everything before the first space in the string as the name of the module (newagent), and everything after the first space will be passed to the agent on startup as the kw argument named "argstring".
Once passed to the agent as a string, your code can do anything it wants with that data.
To accomplish this, you should code your agent to look for the argstring argument and act on it in the initPlayer call:
class SuperAwesomeBattlePyAI(Player):
...
def initPlayer(self, *args, **kwargs):
if 'argstring' in kwargs:
self.personality = kwargs['argstring']
...
def fireShot(self):
if self.personality == 'random':
...