import logging import json import subprocess import time from typing import Dict, Any import runpod def handler(job: Dict[str, Any]) -> Dict[str, Any]: """ Handler function for running `llm_evaluation.py` in a RunPod serverless environment. Args: job (Dict[str, Any]): The job input containing parameters for evaluation. Returns: Dict[str, Any]: Evaluation results or error details. """ start_time = time.time() logging.info("Evaluation handler started.") # Extract job input job_input = job.get('input', {}) model_name = job_input.get('model_name') if not model_name: logging.error("Missing required field: 'model_name'") return { "status": "error", "error": "Missing required field: 'model_name'" } try: # Prepare evaluation input evaluation_input = json.dumps({"model_name": model_name}) logging.info(f"Starting evaluation for model: {model_name}") # Run `llm_evaluation.py` as a subprocess result = subprocess.run( ['python3', 'llm_evaluation.py', evaluation_input], capture_output=True, text=True, check=True ) logging.info("Model evaluation completed successfully.") # Attempt to parse the output as JSON try: evaluation_results = json.loads(result.stdout) except json.JSONDecodeError: evaluation_results = {"raw_output": result.stdout} return { "status": "success", "model_name": model_name, "processing_time": time.time() - start_time, "evaluation_results": evaluation_results } except subprocess.CalledProcessError as e: logging.error(f"Evaluation process failed: {e.stderr}") return { "status": "error", "error": f"Evaluation process failed: {e.stderr}", "stdout": e.stdout, "stderr": e.stderr } except Exception as e: logging.error(f"Unhandled error during evaluation: {str(e)}") return { "status": "error", "error": str(e) } if __name__ == "__main__": # Configure logging logging.basicConfig( level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" ) # Start RunPod serverless endpoint runpod.serverless.start({"handler": handler})