add description and logo on game_config.json

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Kylin_on_Mac 2022-05-06 09:26:57 +08:00
parent da3cdbba9b
commit 4272ddc7d1
11 changed files with 42 additions and 103 deletions

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@ -1,13 +1,13 @@
# **Easy Game**
<img src="./asset/logo.svg" alt="logo" width="100"/>
[comment]: <> (![python]&#40;https://img.shields.io/pypi/pyversions/pygame&#41;)
![pygame](https://img.shields.io/badge/release-2.0.0beta-red.svg)
![pygame](https://img.shields.io/badge/release-1.1.1-red.svg)
[![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-390/)
[![MLGame](https://img.shields.io/badge/MLGame-9.5.1-<COLOR>.svg)](https://github.com/PAIA-Playful-AI-Arena/MLGame)
[![MLGame](https://img.shields.io/badge/MLGame-9.4.0-<COLOR>.svg)](https://github.com/PAIA-Playful-AI-Arena/MLGame)
[![pygame](https://img.shields.io/badge/pygame-2.0.1-<COLOR>.svg)](https://github.com/pygame/pygame/releases/tag/2.0.1)
---
這是一個吃東西小遊戲,也是 PAIA 的遊戲教學範例
![https://github.com/PAIA-Playful-AI-Arena/MLGame/raw/master/games/easy_game/asset/easy_game.gif](https://github.com/PAIA-Playful-AI-Arena/MLGame/raw/master/games/easy_game/asset/easy_game.gif)

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@ -1,24 +0,0 @@
import random
class MLPlay:
def __init__(self, ai_name:str,*args, **kwargs):
print(f"Initial {__file__} script with ai_name:{ai_name}")
def update(self, scene_info: dict, *args, **kwargs):
"""
Generate the command according to the received scene information
"""
# print("AI received data from game :", json.dumps(scene_info))
# print(scene_info)
actions = ["UP", "DOWN", "LEFT", "RIGHT"]
return random.sample(actions, 1)
def reset(self):
"""
Reset the status
"""
print("reset ml script")
pass

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@ -1,26 +0,0 @@
import random
class MLPlay:
def __init__(self, *args, **kwargs):
print("Initial ml script")
self.count=0
def update(self, scene_info: dict, *args, **kwargs):
"""
Generate the command according to the received scene information
"""
# print("AI received data from game :", json.dumps(scene_info))
# print(scene_info)
actions = ["UP", "DOWN", "LEFT", "RIGHT"]
self.count+=1
if self.count >100:
a = actions[100]
return random.sample(actions, 1)
def reset(self):
"""
Reset the status
"""
print("reset ml script")
pass

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@ -1,24 +0,0 @@
import random
import aaa
class MLPlay:
def __init__(self, *args, **kwargs):
print("Initial ml script")
def update(self, scene_info: dict, *args, **kwargs):
"""
Generate the command according to the received scene information
"""
# print("AI received data from game :", json.dumps(scene_info))
# print(scene_info)
actions = ["UP", "DOWN", "LEFT", "RIGHT"]
return random.sample(actions, 1)
def reset(self):
"""
Reset the status
"""
print("reset ml script")
pass

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@ -1,9 +1,8 @@
import sys
from os import path
sys.path.append(path.dirname(__file__))
from mlgame.argument.tool import read_json_file, parse_config
from src.game import EasyGame
from os import path
from mlgame.utils.parse_config import read_json_file, parse_config
from .src.game import EasyGame
config_file = path.join(path.dirname(__file__), "game_config.json")
@ -16,5 +15,6 @@ GAME_PARAMS = parse_config(config_data)
GAME_SETUP = {
"game": EasyGame,
"ml_clients": EasyGame.ai_clients(),
# "dynamic_ml_clients":True
}

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@ -1,7 +1,12 @@
{
"game_name": "easy_game",
"version": "2.0.0-beta",
"url": "None",
"version": "1.1.1",
"url": "https://github.com/PAIA-Playful-AI-Arena/easy_game",
"description": "這是一個吃東西小遊戲,也是 PAIA 的遊戲教學範例",
"logo": [
"./asset/logo.svg",
"https://raw.githubusercontent.com/PAIA-Playful-AI-Arena/Paia-Desktop/master/media/easygame.svg"
],
"game_params": [
{
"name": "time_to_play",

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@ -1,12 +1,12 @@
import random
import pygame
class MLPlay:
def __init__(self, ai_name: str, *args, **kwargs):
self.ai_name = ai_name
print(f"Initial {__file__} script with ai_name:{ai_name}")
def __init__(self):
print("Initial ml script")
def update(self, scene_info: dict, keyboard: list = [], *args, **kwargs):
def update(self, scene_info: dict, keyboard:list=[], *args, **kwargs):
"""
Generate the command according to the received scene information
"""
@ -28,6 +28,8 @@ class MLPlay:
return actions
def reset(self):
"""
Reset the status

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@ -1,7 +1,6 @@
import random
class MLPlay:
def __init__(self, *args, **kwargs)
def __init__(self):
print("Initial ml script")
def update(self, scene_info: dict, *args, **kwargs):

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@ -3,9 +3,8 @@ from os import path
import pygame
from mlgame.argument.model import AI_NAMES
from mlgame.gamedev.paia_game import PaiaGame, GameResultState, GameStatus
from mlgame.tests.test_decorator import check_game_progress, check_game_result
from mlgame.gamedev.game_interface import PaiaGame, GameResultState, GameStatus
from mlgame.view.test_decorator import check_game_progress, check_game_result
from mlgame.view.view_model import create_text_view_data, create_asset_init_data, create_image_view_data, Scene, \
create_scene_progress_data
from .game_object import Ball, Food
@ -35,13 +34,9 @@ class EasyGame(PaiaGame):
def update(self, commands):
# handle command
ai_1p_cmd = commands[AI_NAMES[0]]
if ai_1p_cmd is not None:
action = ai_1p_cmd[0]
else:
action = "NONE"
ai_1p_cmd = commands[self.ai_clients()[0]["name"]][0]
# print(ai_1p_cmd)
self.ball.update(action)
self.ball.update(ai_1p_cmd)
# update sprite
self.foods.update()
@ -77,7 +72,8 @@ class EasyGame(PaiaGame):
"status": self.get_game_status()
}
to_players_data[AI_NAMES[0]] = data_to_1p
for ai_client in self.ai_clients():
to_players_data[ai_client['name']] = data_to_1p
# should be equal to config. GAME_SETUP["ml_clients"][0]["name"]
return to_players_data
@ -143,7 +139,7 @@ class EasyGame(PaiaGame):
"state": self.game_result_state,
"attachment": [
{
"player": AI_NAMES[0],
"player": self.ai_clients()[0]["name"],
"rank": 1,
"score": self.score
}
@ -167,7 +163,8 @@ class EasyGame(PaiaGame):
cmd_1p.append("RIGHT")
else:
cmd_1p.append("NONE")
return {AI_NAMES[0]: cmd_1p}
ai_1p = self.ai_clients()[0]["name"]
return {ai_1p: cmd_1p}
def _create_foods(self, count: int = 5):
for i in range(count):
@ -175,3 +172,12 @@ class EasyGame(PaiaGame):
food = Food(self.foods)
pass
@staticmethod
def ai_clients():
"""
let MLGame know how to parse your ai,
you can also use this names to get different cmd and send different data to each ai client
"""
return [
{"name": "1P"}
]