def establish_new_server_port_for_service(service_name: str) -> int:
with FileLock(f"{PORT_LISTING_PATH}.lock"):
file_mode = "r+" if os.path.exists(PORT_LISTING_PATH) else "w+"
with open(PORT_LISTING_PATH, file_mode) as port_listing_file:
retries = 10
for retry in range(retries):
file_is_empty = os.path.getsize(PORT_LISTING_PATH) == 0
port_listings: Dict[str, str] = {}
if not file_is_empty:
port_listings: Dict[str,
str] = json.load(port_listing_file)
claimed_ports_from_file = list(
int(p) for p in port_listings.values())
free_port_from_os = find_free_port()
if (free_port_from_os in claimed_ports_from_file and
port_listings.get(service_name) != free_port_from_os):
time.sleep(0.05)
continue
port_listings[service_name] = free_port_from_os
port_listing_file.seek(0)
json.dump(port_listings, port_listing_file)
port_listing_file.truncate()
return free_port_from_os
raise ConnectionError(
f"Couldn't find an unclaimed free port for service name {service_name} "
f"in {retries} retries.")
}
avg_pol_scenario: NFSPScenario = scenario_catalog.get(
scenario_name="1000_oshi_zumo_nfsp_larger_dqn_larger")
trainer_class = PPOTrainer
tmp_env = env_class(env_config=env_config)
address_info = ray.init(num_cpus=num_cpus,
num_gpus=num_gpus,
object_store_memory=int(1073741824 * 1),
local_mode=False,
include_dashboard=True,
dashboard_host="0.0.0.0",
dashboard_port=find_free_port(),
ignore_reinit_error=True,
logging_level=logging.INFO,
log_to_driver=os.getenv("RAY_LOG_TO_DRIVER",
False))
def select_policy(agent_id):
if agent_id == br_player:
return "best_response"
else:
return f"average_policy"
avg_policy_model_config = avg_pol_scenario.get_avg_trainer_config(
tmp_env)["model"]
player_0_avg_pol_spec = StrategySpec.from_json_file(
