"""Script to run end-to-end evaluation on the benchmark. Utils and basic architecture credit to https://github.com/web-arena-x/webarena/blob/main/run.py. """ import argparse import datetime import json import logging import os import sys from typing import List, Dict import math from tqdm import tqdm from multiprocessing import Process, Manager, current_process import lib_run_single from desktop_env.desktop_env import DesktopEnv from mm_agents.anthropic import AnthropicAgent as PromptAgent import fake_run_single as lib_run_single from test_env import DesktopEnv # .env from dotenv import load_dotenv load_dotenv() # Logger Configs {{{ # logger = logging.getLogger() logger.setLevel(logging.INFO) datetime_str: str = datetime.datetime.now().strftime("%Y%m%d@%H%M%S") file_handler = logging.FileHandler( os.path.join("logs", "normal-{:}.log".format(datetime_str)), encoding="utf-8" ) stdout_handler = logging.StreamHandler(sys.stdout) file_handler.setLevel(logging.INFO) stdout_handler.setLevel(logging.INFO) formatter = logging.Formatter( fmt="\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s \x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] \x1b[0m%(message)s" ) file_handler.setFormatter(formatter) stdout_handler.setFormatter(formatter) stdout_handler.addFilter(logging.Filter("desktopenv")) logger.addHandler(file_handler) logger.addHandler(stdout_handler) # }}} Logger Configs # logger = logging.getLogger("desktopenv.experiment") def config() -> argparse.Namespace: parser = argparse.ArgumentParser( description="Run end-to-end evaluation on the benchmark" ) # environment config parser.add_argument("--path_to_vm", type=str, default=None) parser.add_argument( "--headless", action="store_true", help="Run in headless machine" ) parser.add_argument( "--action_space", type=str, default="claude_computer_use", help="Action type" ) parser.add_argument( "--observation_type", choices=["screenshot", "a11y_tree", "screenshot_a11y_tree", "som"], default="a11y_tree", help="Observation type", ) parser.add_argument( "--provider_name", type=str, default="aws", choices=["aws", "virtualbox", "vmware", "docker", "azure"], help="Provider name" ) parser.add_argument( "--client_password", type=str, default="", help="Client password" ) parser.add_argument( "--screen_width", type=int, default=1920, help="Screen width" ) parser.add_argument( "--screen_height", type=int, default=1080, help="Screen height" ) parser.add_argument("--sleep_after_execution", type=float, default=0.0) parser.add_argument("--max_steps", type=int, default=15) # agent config parser.add_argument("--max_trajectory_length", type=int, default=3) parser.add_argument( "--test_config_base_dir", type=str, default="evaluation_examples" ) # lm config parser.add_argument("--model", type=str, default="claude-4-sonnet-20250514") parser.add_argument("--temperature", type=float, default=1.0) parser.add_argument("--top_p", type=float, default=0.9) parser.add_argument("--max_tokens", type=int, default=1500) parser.add_argument("--stop_token", type=str, default=None) # example config parser.add_argument("--domain", type=str, default="all") parser.add_argument( "--test_all_meta_path", type=str, default="evaluation_examples/test_all.json" ) # logging related parser.add_argument("--result_dir", type=str, default="./results") parser.add_argument("--num_envs", type=int, default=1, help="Number of environments to run in parallel") # aws config parser.add_argument( "--region", type=str, default="us-east-1", help="AWS region for the VM" ) args = parser.parse_args() return args def distribute_tasks(test_all_meta: dict) -> List[tuple]: """Distribute tasks evenly across environments.""" # Flatten the tasks into a single list all_tasks = [] for domain, examples in test_all_meta.items(): for example_id in examples: all_tasks.append((domain, example_id)) return all_tasks def run_env_tasks(task_queue, args, shared_scores): """Run tasks for a single environment.""" active_environments = [] env = None try: from desktop_env.providers.aws.manager import IMAGE_ID_MAP REGION = args.region screen_size = (args.screen_width, args.screen_height) ami_id = IMAGE_ID_MAP[REGION].get(screen_size, IMAGE_ID_MAP[REGION][(1920, 1080)]) env = DesktopEnv( path_to_vm=args.path_to_vm, action_space=args.action_space, provider_name=args.provider_name, region=REGION, snapshot_name=ami_id, screen_size=screen_size, headless=args.headless, os_type="Ubuntu", require_a11y_tree=args.observation_type in ["a11y_tree", "screenshot_a11y_tree", "som"], enable_proxy=True, client_password=args.client_password ) active_environments.append(env) agent = PromptAgent( env=env, model=args.model, max_tokens=args.max_tokens, top_p=args.top_p, temperature=args.temperature, action_space=args.action_space, observation_type=args.observation_type, max_trajectory_length=args.max_trajectory_length, client_password=args.client_password, provider_name=args.provider_name, screen_width=args.screen_width, screen_height=args.screen_height ) logger.info(f"Process {current_process().name} started.") while True: try: item = task_queue.get(timeout=5) except Exception: break domain, example_id = item try: config_file = os.path.join( args.test_config_base_dir, f"examples/{domain}/{example_id}.json" ) with open(config_file, "r", encoding="utf-8") as f: example = json.load(f) logger.info(f"[{current_process().name}][Domain]: {domain}") logger.info(f"[{current_process().name}][Example ID]: {example_id}") logger.info(f"[{current_process().name}][Instruction]: {example['instruction']}") example_result_dir = os.path.join( args.result_dir, args.action_space, args.observation_type, args.model, domain, example_id, ) os.makedirs(example_result_dir, exist_ok=True) try: lib_run_single.run_single_example( agent, env, example, args.max_steps, example["instruction"], args, example_result_dir, shared_scores, ) except Exception as e: import traceback logger.error(f"Exception in {current_process().name} {domain}/{example_id}: {e}") logger.error(traceback.format_exc()) try: env.controller.end_recording( os.path.join(example_result_dir, "recording.mp4") ) except Exception as rec_e: logger.error(f"Failed to end recording: {rec_e}") with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f: f.write( json.dumps( {"Error": f"{domain}/{example_id} - {e}"} ) ) f.write("\n") except Exception as e: logger.error(f"Task-level error in {current_process().name}: {e}") import traceback logger.error(traceback.format_exc()) except Exception as e: logger.error(f"Process-level error in {current_process().name}: {e}") import traceback logger.error(traceback.format_exc()) finally: logger.info(f"{current_process().name} cleaning up environment...") try: if env: env.close() logger.info(f"{current_process().name} environment closed successfully") except Exception as e: logger.error(f"{current_process().name} error during environment cleanup: {e}") def process_signal_handler(signum, frame, env_idx): logger.info(f"Process {env_idx + 1} received signal {signum}. Shutting down...") local_vars = frame.f_locals active_environments = local_vars.get('active_environments', []) for env in active_environments: if env is not None: try: logger.info(f"Process {env_idx + 1} closing environment...") env.close() logger.info(f"Process {env_idx + 1} environment closed successfully") except Exception as e: logger.error(f"Process {env_idx + 1} error closing environment: {e}") logger.info(f"Process {env_idx + 1} shutdown complete. Exiting.") sys.exit(0) def signal_handler(signum, frame): global is_terminating, active_environments, processes if is_terminating: return is_terminating = True logger.info(f"Received signal {signum}. Gracefully shutting down...") for env in active_environments: try: logger.info(f"Closing environment...") env.close() logger.info(f"Environment closed successfully") except Exception as e: logger.error(f"Error closing environment: {e}") for p in processes: if p.is_alive(): try: logger.info(f"Sending termination signal to process {p.name}...") p.terminate() except Exception as e: logger.error(f"Error sending termination signal to process: {e}") time.sleep(1) for p in processes: if p.is_alive(): try: logger.info(f"Forcefully terminating process {p.name}...") import signal as sig os.kill(p.pid, sig.SIGKILL) except Exception as e: logger.error(f"Error forcefully terminating process: {e}") logger.info("Shutdown complete. Exiting.") sys.exit(0) def test(args: argparse.Namespace, test_all_meta: dict) -> None: global processes logger.info("Args: %s", args) all_tasks = distribute_tasks(test_all_meta) logger.info(f"Total tasks: {len(all_tasks)}") with Manager() as manager: shared_scores = manager.list() task_queue = manager.Queue() for item in all_tasks: task_queue.put(item) num_envs = args.num_envs processes = [] for i in range(num_envs): p = Process( target=run_env_tasks, args=(task_queue, args, shared_scores), name=f"EnvProcess-{i+1}" ) p.daemon = True p.start() processes.append(p) logger.info(f"Started process {p.name} with PID {p.pid}") try: while True: alive_count = 0 for idx, p in enumerate(processes): if not p.is_alive(): logger.warning(f"Process {p.name} died, restarting...") new_p = Process( target=run_env_tasks, args=(task_queue, args, shared_scores), name=f"EnvProcess-Restart-{idx+1}" ) new_p.daemon = True new_p.start() processes[idx] = new_p logger.info(f"Restarted process {new_p.name} with PID {new_p.pid}") else: alive_count += 1 if task_queue.empty(): logger.info("All tasks finished.") break if alive_count == 0: logger.error("All processes died, exiting.") break time.sleep(5) for p in processes: p.join() except KeyboardInterrupt: logger.info("Main process received KeyboardInterrupt. Initiating graceful shutdown...") raise except Exception as e: logger.error(f"Unexpected error while waiting for processes: {e}", exc_info=True) for p in processes: if p.is_alive(): try: logger.info(f"Terminating process {p.name} due to error...") p.terminate() except Exception as term_e: logger.error(f"Error terminating process {p.name}: {term_e}") raise scores = list(shared_scores) logger.info(f"Average score: {sum(scores) / len(scores) if scores else 0}") def get_unfinished( action_space, use_model, observation_type, result_dir, total_file_json ): target_dir = os.path.join(result_dir, action_space, observation_type, use_model) if not os.path.exists(target_dir): return total_file_json finished = {} for domain in os.listdir(target_dir): finished[domain] = [] domain_path = os.path.join(target_dir, domain) if os.path.isdir(domain_path): for example_id in os.listdir(domain_path): if example_id == "onboard": continue example_path = os.path.join(domain_path, example_id) if os.path.isdir(example_path): if "result.txt" not in os.listdir(example_path): # empty all files under example_id for file in os.listdir(example_path): os.remove(os.path.join(example_path, file)) else: finished[domain].append(example_id) if not finished: return total_file_json for domain, examples in finished.items(): if domain in total_file_json: total_file_json[domain] = [ x for x in total_file_json[domain] if x not in examples ] return total_file_json def get_result(action_space, use_model, observation_type, result_dir, total_file_json): target_dir = os.path.join(result_dir, action_space, observation_type, use_model) if not os.path.exists(target_dir): print("New experiment, no result yet.") return None all_result = [] for domain in os.listdir(target_dir): domain_path = os.path.join(target_dir, domain) if os.path.isdir(domain_path): for example_id in os.listdir(domain_path): example_path = os.path.join(domain_path, example_id) if os.path.isdir(example_path): if "result.txt" in os.listdir(example_path): # empty all files under example_id try: all_result.append( float( open( os.path.join(example_path, "result.txt"), "r" ).read() ) ) except: all_result.append(0.0) if not all_result: print("New experiment, no result yet.") return None else: print("Current Success Rate:", sum(all_result) / len(all_result) * 100, "%") return all_result if __name__ == "__main__": ####### The complete version of the list of examples ####### os.environ["TOKENIZERS_PARALLELISM"] = "false" import signal import time signal.signal(signal.SIGINT, signal_handler) signal.signal(signal.SIGTERM, signal_handler) try: args = config() with open(args.test_all_meta_path, "r", encoding="utf-8") as f: test_all_meta = json.load(f) if args.domain != "all": test_all_meta = {args.domain: test_all_meta[args.domain]} test_file_list = get_unfinished( args.action_space, args.model, args.observation_type, args.result_dir, test_all_meta, ) left_info = "" for domain in test_file_list: left_info += f"{domain}: {len(test_file_list[domain])}\n" logger.info(f"Left tasks:\n{left_info}") get_result( args.action_space, args.model, args.observation_type, args.result_dir, test_all_meta, ) test(args, test_file_list) except KeyboardInterrupt: logger.info("Main process received KeyboardInterrupt.") except Exception as e: logger.error(f"Unexpected error in main process: {e}", exc_info=True) signal_handler(signal.SIGTERM, None) finally: logger.info("Main process final cleanup...")