Game: v6.1

Python 3.11 and the following dependencies:

# AI Module
uvicorn
fastapi
pyftg
pydantic
# Twitch Module
twitchio==2.8.2
python-dotenv==1.0.0
httpx==0.25.1
requests
python-dotenv

1. Create a new Python environment with requirements
2. Run the game
3. Open new terminal and open game server

cd AIModule
python game_server.py

In the game, Player should show DemoAI_2 (Visual AI) 4. Open command server

cd AIModule
python command_server.py

5. Open new terminal and GUI. Specify a new path so that the GUI will read from this file. It does not have to be exist for now.

cd AIModule
python view.py --json_path <path_to_game_stat_file>

6. In TwitchAPI folder, configure the bot by copying .env.example to .env. Then, modify the .env file using your credentials.
7. In TwitchAPI/config.py, set STATUS_JSON_ADDRESS to the path specified in step 5.
8. Open new terminal and run the bot

cd TwitchAPI
python main.py

9. In the game, make sure that both are GRPC and characters are Zen.
10. Start the match

• Start game

{
    game_id: string,
    start: bool,
}

• Command handler

{
  player_1:
  {
    actions: [action_1, ..., action_n]
  },
  player_2:
  {
    actions: [action_1, ..., action_n]
  }
}

• Game status

{
    game_status: string,
    character_1:
    {
        hp: float,
        energy: float
    },
    character_2:
    {
        hp:float,
        energy: float
    }
}

Twitch server received Game status message and perform betting logic.