File size: 1,372 Bytes
048f186 5c6ca01 95a7814 048f186 95a7814 5c6ca01 048f186 5c6ca01 5c3c008 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | import os
from pathlib import Path
from openenv.core.env_server import create_fastapi_app
try:
from dotenv import load_dotenv as _load_dotenv
except ImportError:
def _load_dotenv(_path: str) -> bool: # type: ignore[misc]
return False
try:
from .ShopManagerEng_environment import JewelryShopEnvironment
from ..models import JewelryAction, JewelryObservation
except ImportError:
from server.ShopManagerEng_environment import JewelryShopEnvironment
from models import JewelryAction, JewelryObservation
import uvicorn
# Load .env from this package (ShopManagerEng/.env) for FRED/keys when running the server
_env = Path(__file__).resolve().parent.parent / ".env"
if _env.is_file():
_load_dotenv(_env)
# RL trainers (TRL GRPO, etc.) open one WebSocket per parallel rollout. With
# num_generations=8 + per_device_train_batch_size>=8 you can easily need 8-16
# concurrent envs. Default max is 1, so we bump it. Override via env var
# SHOPMANAGER_MAX_CONCURRENT_ENVS for hosted Spaces with tighter budgets.
_MAX_CONCURRENT_ENVS = int(os.environ.get("SHOPMANAGER_MAX_CONCURRENT_ENVS", "16"))
app = create_fastapi_app(
JewelryShopEnvironment,
JewelryAction,
JewelryObservation,
max_concurrent_envs=_MAX_CONCURRENT_ENVS,
)
def main():
uvicorn.run(app, host="0.0.0.0", port=8000)
if __name__ == "__main__":
main() |