Python library for a j-chess bot. Beep Boop
Project description
j-chess-lib
Python library for a j-chess bot. This library provides an interface to connect to a j-chess-server and play some games with a self written bot. To see the currently supported j-chess-xsd please see Documentation
Free software: GNU General Public License v3
Documentation: https://j-chess-lib.readthedocs.io.
Server and Communication xsd
- Server:
- Communication protocol:
Features
Easy connection to server
- Interface to write a bot to play chess
Provides different interfaces with different complexity levels
Pre-implemented bot to play random moves
Basic generation for legal moves
Install
PyPi package is comeing soon. Until then installation is done via
$ pip install j-chess-lib
See Installation for detailed instructions
Usage
See here some examples to use this library. For more detailed explanation see Usage
Start
See below for an example to start the client with your ai
from j_chess_lib.communication import Connection
from j_chess_lib.client import Client
from j_chess_lib.ai.Sample import SampleAI
with Connection(server_address, server_port) as connection:
ai = SampleAI()
tournament_code = # Your optional UUID tournament code
client = Client(connection=connection, ai=your_ai, tournament_code=tournament_code)
client.start()
client.join()
This example shows how to setup the connection and the client. The tournament code is optional and does not have to be passed. If None is passed none will be send to the server. The client is its own thread so you could for example start multiple clients parallel or do some other stuff. Like a gui…
AI
See below for an example to implement a very easy AI. It uses the base-class that automatically stores match and game data when started so you can query it in the move generation when needed
from uuid import UUID
from j_chess_lib.ai import StoreAI
from j_chess_lib.ai.Container import GameState
from j_chess_lib.communication import MoveData
class SampleAI(StoreAI):
def __init__(self):
super(SampleAI, self).__init__(name=f"Unique Name of your very good AI")
def get_move(self, game_id: UUID, match_id: UUID, game_state: GameState) -> MoveData:
enemy, match_data = self.get_match(match_id=match_id)
white_player = self.get_game(game_id=game_id, match_id=match_id)
# Your super intelligent code to generate the best chess move ever generated
move_data = # result of your code
return move_data
This example initializes a SampleAI
ToDo
Error fallbacks
Some features
Credits
Idea and server generated by the nice JoKrus
xml library used to generate classes and serialize data xsdata
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.0.1 (2022-01-23)
Engage in Project
0.1.0 (2022-01-24)
Implemented basic api. Still some features to do
0.2.0 (2022-01-24)
Added more docu
Added readthedocs build config
0.2.4 (2022-01-24)
Fixed setup.py so it automatically loads xsd and installs classes based on them
0.7.0 (2022-03-10)
Added tournament code to client
0.7.3 (2022-03-20)
Implemented error messages on not supported messages
Fixed client not loading completed message when delay between packages is too big
0.8.0 (2022-03-20)
Added method to check if move results in the new board you beeing in chess
0.9.0 (2022-03-21)
Implemented Example AI that replays a loaded PGN. Automatically selects “path” from pgn matching player color
0.9.1 (2022-03-26)
Is promotion Method now returns False on non valid moves
0.10.0 (2022-03-26)
Added methods to predict boards and create fen notation from boards
0.10.2 (2022-03-26)
Fixed pgn analysis when white moved last
0.10.3 (2022-03-27)
Fixed bug in PGNPlayer with empty pgn
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file j_chess_lib-0.10.3.tar.gz
.
File metadata
- Download URL: j_chess_lib-0.10.3.tar.gz
- Upload date:
- Size: 38.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fa687808baafce98c40208f4eef0ee51f62e1a953403d7d20323d14175212887 |
|
MD5 | fbd9ead1e6bf10d7c49571d94389c4b2 |
|
BLAKE2b-256 | 6b528078902912d5f9fe1704886a4549c2d5727c4b9e27753781635f58ccea00 |
File details
Details for the file j_chess_lib-0.10.3-py2.py3-none-any.whl
.
File metadata
- Download URL: j_chess_lib-0.10.3-py2.py3-none-any.whl
- Upload date:
- Size: 37.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4efdfc911904f28cf95780abdc7cf264ccf524841ac4eedc31a6bdd428509e88 |
|
MD5 | a3cb1f5193f280217ecb2db4be9a9c14 |
|
BLAKE2b-256 | e9c46c25e9a48202892c4eb567cf9f7ddbf1d83d745ae549d47135877eaa823c |