openra-rl / openra_env /server /openra_process.py
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"""OpenRA subprocess manager.
Handles launching, monitoring, and terminating OpenRA game instances
for RL training episodes.
"""
import logging
import os
import subprocess
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
# Default path to the OpenRA installation
DEFAULT_OPENRA_PATH = os.environ.get("OPENRA_PATH", "/opt/openra")
# Map user-friendly difficulty names to actual OpenRA bot type strings.
# Users can set either the friendly name or the raw OpenRA name.
# Difficulty tiers: beginner < easy < medium < hard < brutal
# Play styles (raw pass-through): rush, normal, turtle, naval
BOT_TYPE_MAP: dict[str, str] = {
"beginner": "beginner",
"easy": "easy",
"medium": "medium",
"hard": "normal",
"brutal": "rush",
}
@dataclass
class OpenRAConfig:
"""Configuration for launching an OpenRA game instance."""
openra_path: str = DEFAULT_OPENRA_PATH
mod: str = "ra"
map_name: str = "singles.oramap"
grpc_port: int = 9999
bot_name: str = "Normal AI"
bot_type: str = "normal"
rl_slot: str = "Multi1"
ai_slot: str = "Multi0"
seed: Optional[int] = None
headless: bool = True # Use Null renderer (no GPU needed)
record_replays: bool = False # Enable .orarep replay recording
extra_args: dict = field(default_factory=dict)
class OpenRAProcessManager:
"""Manages an OpenRA game subprocess for RL training.
Each episode starts a new OpenRA process with the ExternalBotBridge
trait enabled. The process communicates with the Python environment
via gRPC on the configured port.
"""
def __init__(self, config: Optional[OpenRAConfig] = None):
self.config = config or OpenRAConfig()
self._process: Optional[subprocess.Popen] = None
self._stdout_log: list[str] = []
self._stderr_log: list[str] = []
def launch(self) -> int:
"""Launch a new OpenRA game instance.
Returns the PID of the launched process.
"""
if self._process is not None and self._process.poll() is None:
logger.warning("Killing existing OpenRA process before launching new one")
self.kill()
cmd = self._build_command()
logger.info(f"Launching OpenRA: {' '.join(cmd)}")
env = os.environ.copy()
env.setdefault("DOTNET_ROLL_FORWARD", "LatestMajor")
self._process = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=self.config.openra_path,
env=env,
)
logger.info(f"OpenRA launched with PID {self._process.pid}")
return self._process.pid
def _build_command(self) -> list[str]:
"""Build the command line for launching OpenRA.
Uses the game client (OpenRA.dll) with Launch.Map and Launch.Bots
to auto-start a local game with the RL bot and optional AI opponent.
"""
openra_path = Path(self.config.openra_path)
# Find the game client executable (OpenRA.dll, not OpenRA.Server.dll)
exe = None
for search_dir in [openra_path, openra_path / "bin"]:
game_dll = search_dir / "OpenRA.dll"
if game_dll.exists():
exe = ["dotnet", str(game_dll)]
break
if exe is None:
# Fallback: look for the RL launch script
launch_script = openra_path / "launch-rl.sh"
if launch_script.exists():
exe = ["bash", str(launch_script)]
else:
raise FileNotFoundError(
f"Could not find OpenRA game client in {openra_path}. "
"Expected OpenRA.dll in root or bin/, or launch-rl.sh"
)
# Build bots configuration: slot:bottype,slot:bottype
bots = f"{self.config.rl_slot}:rl-agent"
if self.config.ai_slot:
# Map difficulty tiers to OpenRA bot types
actual_type = BOT_TYPE_MAP.get(self.config.bot_type, self.config.bot_type)
bots += f",{self.config.ai_slot}:{actual_type}"
args = [
*exe,
f"Engine.EngineDir={self.config.openra_path}",
f"Game.Mod={self.config.mod}",
f"Launch.Map={self.config.map_name}",
f"Launch.Bots={bots}",
]
# Use Null renderer for headless operation (no GPU/OpenGL needed)
if self.config.headless:
args.append("Game.Platform=Null")
if self.config.record_replays:
args.append("Server.RecordReplays=True")
for key, value in self.config.extra_args.items():
args.append(f"{key}={value}")
return [a for a in args if a]
def is_alive(self) -> bool:
"""Check if the OpenRA process is still running."""
if self._process is None:
return False
return self._process.poll() is None
def kill(self, timeout: float = 5.0) -> Optional[int]:
"""Terminate the OpenRA process.
Returns the exit code, or None if the process had to be force-killed.
"""
if self._process is None:
return None
pid = self._process.pid
# Try graceful termination first
try:
self._process.terminate()
try:
exit_code = self._process.wait(timeout=timeout)
logger.info(f"OpenRA process {pid} terminated gracefully (exit code {exit_code})")
return exit_code
except subprocess.TimeoutExpired:
pass
except ProcessLookupError:
self._process = None
return None
# Force kill
try:
self._process.kill()
self._process.wait(timeout=2.0)
logger.warning(f"OpenRA process {pid} force-killed")
except (ProcessLookupError, subprocess.TimeoutExpired):
pass
self._process = None
return None
def get_stdout(self) -> str:
"""Read available stdout from the process."""
if self._process is None or self._process.stdout is None:
return ""
try:
# Non-blocking read
import select
if select.select([self._process.stdout], [], [], 0.0)[0]:
data = self._process.stdout.read(4096)
if data:
text = data.decode("utf-8", errors="replace")
self._stdout_log.append(text)
return text
except Exception:
pass
return ""
def get_stderr(self) -> str:
"""Read available stderr from the process."""
if self._process is None or self._process.stderr is None:
return ""
try:
import select
if select.select([self._process.stderr], [], [], 0.0)[0]:
data = self._process.stderr.read(4096)
if data:
text = data.decode("utf-8", errors="replace")
self._stderr_log.append(text)
return text
except Exception:
pass
return ""
@property
def pid(self) -> Optional[int]:
"""Get the PID of the running process."""
if self._process is None:
return None
return self._process.pid
def __del__(self):
"""Ensure cleanup on garbage collection."""
if self._process is not None and self._process.poll() is None:
try:
self._process.kill()
except Exception:
pass