def test_random_comp():
home_agent = botbowl.make_bot("random")
away_agent = botbowl.make_bot("random")
comp = botbowl.Competition(home_agent, away_agent, home, away, config,
ruleset, arena)
comp.run()
def main():
# Load configurations, rules, arena and teams
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = False
ruleset = botbowl.load_rule_set(config.ruleset)
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
config.competition_mode = False
config.debug_mode = False
# Play 100 games
game_times = []
wins = 0
draws = 0
n = 100
is_home = True
tds_away = 0
tds_home = 0
for i in range(n):
if is_home:
away_agent = botbowl.make_bot('random')
home_agent = botbowl.make_bot('my-a2c-bot')
else:
away_agent = botbowl.make_bot('my-a2c-bot')
home_agent = botbowl.make_bot("random")
game = botbowl.Game(i,
home,
away,
home_agent,
away_agent,
config,
arena=arena,
ruleset=ruleset)
game.config.fast_mode = True
print("Starting game", (i + 1))
game.init()
print("Game is over")
winner = game.get_winner()
if winner is None:
draws += 1
elif winner == home_agent and is_home:
wins += 1
elif winner == away_agent and not is_home:
wins += 1
tds_home += game.get_agent_team(home_agent).state.score
tds_away += game.get_agent_team(away_agent).state.score
print(f"Home/Draws/Away: {wins}/{draws}/{n-wins-draws}")
print(f"Home TDs per game: {tds_home/n}")
print(f"Away TDs per game: {tds_away/n}")
def run_agent(registration_name, port, token):
"""
Starts a server that hosts an agent.
"""
agent = botbowl.make_bot(registration_name)
server = PythonSocketServer(agent, port, token)
server.run()
def main():
# Load configurations, rules, arena and teams
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = True
# config = get_config("gym-7.json")
# config = get_config("gym-5.json")
# config = get_config("gym-3.json")
ruleset = botbowl.load_rule_set(
config.ruleset, all_rules=False) # We don't need all the rules
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
num_games = 10
wins = 0
tds = 0
# Play 10 games
for i in range(num_games):
home_agent = botbowl.make_bot('scripted')
home_agent.name = "Scripted Bot"
away_agent = botbowl.make_bot('random')
away_agent.name = "Random Bot"
config.debug_mode = False
game = botbowl.Game(i,
home,
away,
home_agent,
away_agent,
config,
arena=arena,
ruleset=ruleset)
game.config.fast_mode = True
print("Starting game", (i + 1))
start = time.time()
game.init()
end = time.time()
print(end - start)
wins += 1 if game.get_winning_team() is game.state.home_team else 0
tds += game.state.home_team.state.score
print(f"won {wins}/{num_games}")
print(f"Own TDs per game={tds/num_games}")
def test_illegal_actions(capsys):
home_agent = botbowl.make_bot("random")
away_agent = botbowl.ai.bots.IllegalActionBot("illegal")
comp = botbowl.Competition(home_agent, away_agent, home, away, config,
ruleset, arena)
comp.run()
out, err = capsys.readouterr()
assert err == ""
assert out.find("Action not allowed {'action_type': 'USE_APOTHECARY'") >= 0
def worker(remote, parent_remote, env: BotBowlWrapper, worker_id):
parent_remote.close()
steps = 0
tds = 0
tds_opp = 0
next_opp = botbowl.make_bot('random')
ppcg_wrapper: Optional[PPCGWrapper] = env.get_wrapper_with_type(PPCGWrapper)
while True:
command, data = remote.recv()
if command == 'step':
steps += 1
action, dif = data[0], data[1]
if ppcg_wrapper is not None:
ppcg_wrapper.difficulty = dif
(spatial_obs, non_spatial_obs, action_mask), reward, done, info = env.step(action)
game = env.game
tds_scored = game.state.home_team.state.score - tds
tds_opp_scored = game.state.away_team.state.score - tds_opp
tds = game.state.home_team.state.score
tds_opp = game.state.away_team.state.score
if done or steps >= reset_steps:
# If we get stuck or something - reset the environment
if steps >= reset_steps:
print("Max. number of steps exceeded! Consider increasing the number.")
done = True
env.root_env.away_agent = next_opp
spatial_obs, non_spatial_obs, action_mask = env.reset()
steps = 0
tds = 0
tds_opp = 0
remote.send((spatial_obs, non_spatial_obs, action_mask, reward, tds_scored, tds_opp_scored, done))
elif command == 'reset':
steps = 0
tds = 0
tds_opp = 0
env.root_env.away_agent = next_opp
spatial_obs, non_spatial_obs, action_mask = env.reset()
remote.send((spatial_obs, non_spatial_obs, action_mask, 0.0, 0, 0, False))
elif command == 'swap':
next_opp = data
elif command == 'close':
break
def run_game(nbr_of_games, enable_forward_model):
config = botbowl.load_config("gym-11")
config.fast_mode = True
ruleset = botbowl.load_rule_set(config.ruleset)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
away_agent = Agent("Human 1", human=True, agent_id=1)
home_agent = Agent("Human 2", human=True, agent_id=2)
seed = 0
random_agent = botbowl.make_bot('random')
random_agent.rnd = np.random.RandomState(seed)
for _ in range(nbr_of_games):
game = Game(seed, home, away, home_agent, away_agent, config)
game.init()
if enable_forward_model:
game.enable_forward_model()
while not game.state.game_over:
game.step(random_agent.act(game))
#!/usr/bin/env python3
from scripted_bot_example import *
import botbowl as botbowl
import time as time
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = True
config.debug_mode = False
ruleset = botbowl.load_rule_set(config.ruleset, all_rules=False) # We don't need all the rules
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
# Play 10 games
for i in range(10):
home_agent = botbowl.make_bot('scripted')
home_agent.name = "Bot 1"
away_agent = botbowl.make_bot('scripted')
away_agent.name = "Bot 2"
game = botbowl.Game(i, home, away, home_agent, away_agent, config, arena=arena, ruleset=ruleset)
game.config.fast_mode = True
print("Starting game", (i+1))
start = time.time()
game.init()
end = time.time()
print(end - start)
# Register the bot to the framework
botbowl.register_bot('search-bot', SearchBot)
# Load configurations, rules, arena and teams
config = botbowl.load_config("bot-bowl-iii")
ruleset = botbowl.load_rule_set(config.ruleset)
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
config.competition_mode = False
config.debug_mode = False
config.fast_mode = True
config.pathfinding_enabled = False
# Play a game
bot_a = botbowl.make_bot("search-bot")
bot_b = botbowl.make_bot("search-bot")
game = botbowl.Game(1,
home,
away,
bot_a,
bot_b,
config,
arena=arena,
ruleset=ruleset)
print("Starting game")
game.init()
print("Game is over")
