import asyncio
import logging
import os

logger = logging.getLogger(__name__)

async def start_training_loop():
    """
    Minimal dummy RL training loop that runs asynchronously.
    """
    logger.info("Initializing RL Training environment...")
    
    # Ensure models directory exists
    os.makedirs("models", exist_ok=True)
    
    epoch = 0
    while True:
        logger.info(f"Running training epoch {epoch}...")
        
        # Simulate training work
        await asyncio.sleep(10)
        
        # Save a dummy model
        with open(f"models/dummy_model_v{epoch}.pkl", "w") as f:
            f.write(f"Model parameters for epoch {epoch}")
        
        logger.info(f"Epoch {epoch} complete and model saved.")
        epoch += 1