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worker_demo.py
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worker_demo.py
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import sys
from redis import Redis
from redis.retry import Retry # noqa
from redis.backoff import ExponentialBackoff # noqa
from redis.exceptions import ConnectionError, TimeoutError
from CoyoteObs import CoyoteObsBuilder
from rocket_learn.rollout_generator.redis.redis_rollout_worker import RedisRolloutWorker
from my_matchmaker import MatchmakerFullVPretrained
from CoyoteParser import CoyoteAction
from rewards import ZeroSumReward
from torch import set_num_threads
from setter import CoyoteSetter
import Constants_demo
import os
set_num_threads(1)
if __name__ == "__main__":
rew = ZeroSumReward(zero_sum=Constants_demo.ZERO_SUM,
demo_w=6,
got_demoed_w=-6,
goal_w=5,
concede_w=-5,
velocity_pb_w=0.01,
velocity_bg_w=0.02,
velocity_po_w=0.001,
vel_po_mult_ss=5,
vel_po_mult_neg=0.01,
boost_gain_w=0.5,
boost_spend_w=-0.3,
tick_skip=Constants_demo.FRAME_SKIP,
)
frame_skip = Constants_demo.FRAME_SKIP
fps = 120 // frame_skip
name = "Default"
send_gamestate = False
streamer_mode = False
local = True
auto_minimize = True
game_speed = 100
evaluation_prob = 0
past_version_prob = 0 # 0.5 # 0.1
non_latest_version_prob = [1, 0, 0,
0] # [0.825, 0.0826, 0.0578, 0.0346] # this includes past_version and pretrained
deterministic_streamer = False
force_old_deterministic = False
gamemode_weights = {'1v1': 0.8, '2v2': 0.1, '3v3': 0.1}
visualize = False
simulator = True
batch_mode = True
team_size = 3
dynamic_game = True
infinite_boost_odds = 0.2
host = "127.0.0.1"
epic_rl_exe_path = None # "D:/Program Files/Epic Games/rocketleague_old/Binaries/Win64/RocketLeague.exe"
pretrained_agents = Constants_demo.pretrained_agents
matchmaker = MatchmakerFullVPretrained(pretrained_agents=pretrained_agents)
if len(sys.argv) > 1:
host = sys.argv[1]
if host != "127.0.0.1" and host != "localhost":
local = False
batch_mode = False
epic_rl_exe_path = None
if len(sys.argv) > 2:
name = sys.argv[2]
# if len(sys.argv) > 3 and not dynamic_game:
# team_size = int(sys.argv[3])
if len(sys.argv) > 3:
if sys.argv[3] == 'GAMESTATE':
send_gamestate = True
elif sys.argv[3] == 'STREAMER':
streamer_mode = True
evaluation_prob = 0
game_speed = 1
auto_minimize = False
# infinite_boost_odds = 0.2
simulator = False
past_version_prob = 0
# gamemode_weights = {'1v0': 0.4, '1v1': 0.6}
elif sys.argv[3] == 'VISUALIZE':
visualize = True
if simulator:
from rlgym_sim.envs import Match as Sim_Match
from rlgym_sim.utils.terminal_conditions.common_conditions import GoalScoredCondition, TimeoutCondition, \
NoTouchTimeoutCondition
else:
from rlgym.envs import Match
from rlgym.utils.terminal_conditions.common_conditions import GoalScoredCondition, TimeoutCondition, \
NoTouchTimeoutCondition
setter = CoyoteSetter(mode="demo", simulator=simulator)
match = Match(
game_speed=game_speed,
spawn_opponents=True,
team_size=team_size,
state_setter=setter,
obs_builder=CoyoteObsBuilder(expanding=True, tick_skip=Constants_demo.FRAME_SKIP, team_size=team_size,
extra_boost_info=False, embed_players=False,
),
action_parser=CoyoteAction(),
terminal_conditions=[GoalScoredCondition(),
TimeoutCondition(fps * 20),
],
reward_function=rew,
tick_skip=frame_skip,
) if not simulator else Sim_Match(
spawn_opponents=True,
team_size=team_size,
state_setter=setter,
obs_builder=CoyoteObsBuilder(expanding=True, tick_skip=Constants_demo.FRAME_SKIP, team_size=team_size,
extra_boost_info=False, embed_players=False,
),
action_parser=CoyoteAction(),
terminal_conditions=[GoalScoredCondition(),
TimeoutCondition(fps * 20),
],
reward_function=rew,
)
# local Redis
if local:
r = Redis(host=host,
username="user1",
password=os.environ["redis_user1_key"],
db=Constants_demo.DB_NUM,
)
# remote Redis
else:
# noinspection PyArgumentList
r = Redis(host=host,
username="user1",
password=os.environ["redis_user1_key"],
retry_on_error=[ConnectionError, TimeoutError],
retry=Retry(ExponentialBackoff(cap=10, base=1), 25),
db=Constants_demo.DB_NUM,
)
worker = RedisRolloutWorker(r, name, match,
matchmaker=matchmaker,
sigma_target=1,
evaluation_prob=evaluation_prob,
force_paging=False,
dynamic_gm=dynamic_game,
send_obs=True,
auto_minimize=auto_minimize,
send_gamestates=send_gamestate,
gamemode_weights=gamemode_weights, # default 1/3
streamer_mode=streamer_mode,
deterministic_streamer=deterministic_streamer,
force_old_deterministic=force_old_deterministic,
# testing
batch_mode=batch_mode,
step_size=Constants_demo.STEP_SIZE,
# full_team_evaluations=True,
epic_rl_exe_path=epic_rl_exe_path,
simulator=simulator,
visualize=visualize,
live_progress=False,
tick_skip=Constants_demo.FRAME_SKIP,
pretrained_agents=pretrained_agents,
)
worker.env._match._obs_builder.env = worker.env # noqa
if simulator and visualize:
from rocketsimvisualizer import VisualizerThread
arena = worker.env._game.arena # noqa
v = VisualizerThread(arena, fps=60, tick_rate=120, tick_skip=frame_skip, step_arena=False, # noqa
overwrite_controls=False) # noqa
v.start()
worker.run()