512 lines
18 KiB
Python
512 lines
18 KiB
Python
from __future__ import annotations
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import argparse
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import datetime
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import json
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import logging
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import os
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import sys
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import signal
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import time
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from typing import List
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from multiprocessing import Process, Manager
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from multiprocessing import current_process
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import lib_run_single
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from desktop_env.desktop_env import DesktopEnv
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from mm_agents.qwen3vl_agent import Qwen3VLAgent
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# Global variables for signal handling
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active_environments = []
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processes = []
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is_terminating = False
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# load the environment variables from .env file
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if os.path.exists(".env"):
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from dotenv import load_dotenv
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load_dotenv()
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def config() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Run end-to-end evaluation on the benchmark (Qwen3VL)"
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)
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# environment config
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parser.add_argument("--path_to_vm", type=str, default=None)
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parser.add_argument(
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"--headless", action="store_true", help="Run in headless machine"
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)
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parser.add_argument(
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"--action_space", type=str, default="pyautogui", help="Action type"
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)
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parser.add_argument(
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"--observation_type",
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choices=["screenshot", "a11y_tree", "screenshot_a11y_tree", "som"],
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default="screenshot",
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help="Observation type",
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)
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parser.add_argument("--sleep_after_execution", type=float, default=0.0)
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parser.add_argument("--max_steps", type=int, default=15)
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# agent config
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parser.add_argument("--max_trajectory_length", type=int, default=3)
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parser.add_argument(
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"--test_config_base_dir", type=str, default="evaluation_examples"
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)
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# lm config
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parser.add_argument("--model", type=str, default="qwen3-vl")
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parser.add_argument("--temperature", type=float, default=0)
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parser.add_argument("--top_p", type=float, default=0.9)
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parser.add_argument("--max_tokens", type=int, default=1500)
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parser.add_argument("--stop_token", type=str, default=None)
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parser.add_argument(
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"--coord",
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type=str,
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choices=["absolute", "relative"],
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default="absolute",
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help="Coordinate system for agent outputs (absolute or relative)",
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)
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parser.add_argument(
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"--add_thought_prefix",
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action="store_true",
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help="Add thought prefix to the response",
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)
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# example config
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parser.add_argument("--domain", type=str, default="all")
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parser.add_argument(
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"--test_all_meta_path", type=str, default="evaluation_examples/test_nogdrive.json"
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)
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# logging related
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parser.add_argument("--result_dir", type=str, default="./results")
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parser.add_argument(
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"--num_envs", type=int, default=1, help="Number of environments to run in parallel"
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)
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parser.add_argument(
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"--log_level",
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type=str,
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choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
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default="INFO",
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help="Set the logging level",
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)
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# provider config
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parser.add_argument(
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"--region", type=str, default="us-east-1", help="AWS region for the VM"
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)
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parser.add_argument(
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"--provider_name",
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type=str,
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default="docker",
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choices=["aws", "virtualbox", "vmware", "docker", "azure"],
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help="Provider name",
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)
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parser.add_argument(
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"--client_password", type=str, default="", help="Client password"
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)
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parser.add_argument(
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"--screen_width", type=int, default=1920, help="Screen width"
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)
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parser.add_argument(
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"--screen_height", type=int, default=1080, help="Screen height"
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)
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args = parser.parse_args()
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return args
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args = config() # Get command line arguments first
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logger = logging.getLogger()
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log_level = getattr(logging, args.log_level.upper())
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logger.setLevel(log_level)
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datetime_str: str = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")
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file_handler = logging.FileHandler(
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os.path.join("logs", "normal-{:}.log".format(datetime_str)), encoding="utf-8"
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)
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debug_handler = logging.FileHandler(
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os.path.join("logs", "debug-{:}.log".format(datetime_str)), encoding="utf-8"
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)
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stdout_handler = logging.StreamHandler(sys.stdout)
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file_handler.setLevel(logging.INFO)
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debug_handler.setLevel(logging.DEBUG)
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stdout_handler.setLevel(log_level)
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formatter = logging.Formatter(
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fmt=(
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"\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s "
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"\x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] "
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"\x1b[0m%(message)s"
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)
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)
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file_handler.setFormatter(formatter)
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debug_handler.setFormatter(formatter)
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stdout_handler.setFormatter(formatter)
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stdout_handler.addFilter(logging.Filter("desktopenv"))
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logger.addHandler(file_handler)
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logger.addHandler(debug_handler)
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logger.addHandler(stdout_handler)
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logger = logging.getLogger("desktopenv.experiment")
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def distribute_tasks(test_all_meta: dict) -> List[tuple]:
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all_tasks = []
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for domain, examples in test_all_meta.items():
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for example_id in examples:
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all_tasks.append((domain, example_id))
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return all_tasks
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def run_env_tasks(task_queue, args: argparse.Namespace, shared_scores: list):
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active_environments = []
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env = None
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try:
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REGION = args.region
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screen_size = (args.screen_width, args.screen_height)
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snapshot_name = "init_state"
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if args.provider_name == "aws":
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from desktop_env.providers.aws.manager import IMAGE_ID_MAP
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ami_id = IMAGE_ID_MAP[REGION].get(screen_size, IMAGE_ID_MAP[REGION][(1920, 1080)])
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snapshot_name = ami_id
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env = DesktopEnv(
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path_to_vm=args.path_to_vm,
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action_space=args.action_space,
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provider_name=args.provider_name,
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region=REGION,
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snapshot_name=snapshot_name,
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screen_size=screen_size,
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headless=args.headless,
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os_type="Ubuntu",
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require_a11y_tree=args.observation_type in [
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"a11y_tree",
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"screenshot_a11y_tree",
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"som",
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],
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enable_proxy=True,
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client_password=args.client_password,
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)
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active_environments.append(env)
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agent = Qwen3VLAgent(
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model=args.model,
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max_tokens=args.max_tokens,
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top_p=args.top_p,
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temperature=args.temperature,
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action_space=args.action_space,
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coordinate_type=args.coord,
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add_thought_prefix=args.add_thought_prefix,
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)
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logger.info(f"Process {current_process().name} started.")
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while True:
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try:
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item = task_queue.get(timeout=5)
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except Exception:
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break
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domain, example_id = item
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try:
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config_file = os.path.join(
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args.test_config_base_dir, f"examples/{domain}/{example_id}.json"
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)
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with open(config_file, "r", encoding="utf-8") as f:
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example = json.load(f)
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logger.info(f"[{current_process().name}][Domain]: {domain}")
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logger.info(f"[{current_process().name}][Example ID]: {example_id}")
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logger.info(f"[{current_process().name}][Instruction]: {example['instruction']}")
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example_result_dir = os.path.join(
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args.result_dir,
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args.action_space,
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args.observation_type,
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args.model,
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domain,
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example_id,
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)
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os.makedirs(example_result_dir, exist_ok=True)
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try:
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lib_run_single.run_single_example(
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agent,
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env,
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example,
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args.max_steps,
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example["instruction"],
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args,
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example_result_dir,
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shared_scores,
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)
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except Exception as e:
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import traceback
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logger.error(f"Exception in {current_process().name} {domain}/{example_id}: {e}")
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logger.error(traceback.format_exc())
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try:
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env.controller.end_recording(
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os.path.join(example_result_dir, "recording.mp4")
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)
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except Exception as rec_e:
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logger.error(f"Failed to end recording: {rec_e}")
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with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
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f.write(json.dumps({"Error": f"{domain}/{example_id} - {e}"}))
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f.write("\n")
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except Exception as e:
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logger.error(f"Task-level error in {current_process().name}: {e}")
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import traceback
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logger.error(traceback.format_exc())
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except Exception as e:
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logger.error(f"Process-level error in {current_process().name}: {e}")
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import traceback
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logger.error(traceback.format_exc())
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finally:
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logger.info(f"{current_process().name} cleaning up environment...")
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try:
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if env:
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env.close()
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logger.info(f"{current_process().name} environment closed successfully")
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except Exception as e:
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logger.error(f"{current_process().name} error during environment cleanup: {e}")
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def signal_handler(signum, frame):
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global is_terminating, active_environments, processes
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if is_terminating:
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return
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is_terminating = True
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logger.info(f"Received signal {signum}. Gracefully shutting down...")
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for env in active_environments:
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try:
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logger.info(f"Closing environment...")
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env.close()
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logger.info(f"Environment closed successfully")
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except Exception as e:
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logger.error(f"Error closing environment: {e}")
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for p in processes:
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if p.is_alive():
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try:
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logger.info(f"Sending termination signal to process {p.name}...")
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p.terminate()
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except Exception as e:
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logger.error(f"Error sending termination signal to process: {e}")
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time.sleep(1)
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for p in processes:
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if p.is_alive():
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try:
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logger.info(f"Forcefully terminating process {p.name}...")
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import signal as sig
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os.kill(p.pid, sig.SIGKILL)
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except Exception as e:
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logger.error(f"Error forcefully terminating process: {e}")
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logger.info("Shutdown complete. Exiting.")
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sys.exit(0)
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def test(args: argparse.Namespace, test_all_meta: dict) -> None:
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global processes
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logger.info("Args: %s", args)
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all_tasks = distribute_tasks(test_all_meta)
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logger.info(f"Total tasks: {len(all_tasks)}")
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with Manager() as manager:
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shared_scores = manager.list()
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task_queue = manager.Queue()
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for item in all_tasks:
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task_queue.put(item)
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num_envs = args.num_envs
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processes = []
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for i in range(num_envs):
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p = Process(
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target=run_env_tasks,
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args=(task_queue, args, shared_scores),
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name=f"EnvProcess-{i+1}"
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)
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p.daemon = True
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p.start()
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processes.append(p)
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logger.info(f"Started process {p.name} with PID {p.pid}")
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try:
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while True:
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alive_count = 0
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for idx, p in enumerate(processes):
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if not p.is_alive():
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logger.warning(f"Process {p.name} died, restarting...")
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new_p = Process(
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target=run_env_tasks,
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args=(task_queue, args, shared_scores),
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name=f"EnvProcess-Restart-{idx+1}"
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)
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new_p.daemon = True
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new_p.start()
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processes[idx] = new_p
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logger.info(f"Restarted process {new_p.name} with PID {new_p.pid}")
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else:
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alive_count += 1
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if task_queue.empty():
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logger.info("All tasks finished.")
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break
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if alive_count == 0:
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logger.error("All processes died, exiting.")
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break
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time.sleep(5)
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for p in processes:
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p.join()
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except KeyboardInterrupt:
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logger.info("Main process received KeyboardInterrupt. Initiating graceful shutdown...")
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raise
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except Exception as e:
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logger.error(f"Unexpected error while waiting for processes: {e}", exc_info=True)
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for p in processes:
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if p.is_alive():
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try:
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logger.info(f"Terminating process {p.name} due to error...")
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p.terminate()
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except Exception as term_e:
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logger.error(f"Error terminating process {p.name}: {term_e}")
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raise
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scores = list(shared_scores)
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logger.info(f"Average score: {sum(scores) / len(scores) if scores else 0}")
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def get_unfinished(
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action_space, use_model, observation_type, result_dir, total_file_json
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):
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target_dir = os.path.join(result_dir, action_space, observation_type, use_model)
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if not os.path.exists(target_dir):
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return total_file_json
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finished = {}
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for domain in os.listdir(target_dir):
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finished[domain] = []
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domain_path = os.path.join(target_dir, domain)
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if os.path.isdir(domain_path):
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for example_id in os.listdir(domain_path):
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if example_id == "onboard":
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continue
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example_path = os.path.join(domain_path, example_id)
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if os.path.isdir(example_path):
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if "result.txt" not in os.listdir(example_path):
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for file in os.listdir(example_path):
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os.remove(os.path.join(example_path, file))
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else:
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finished[domain].append(example_id)
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if not finished:
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return total_file_json
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for domain, examples in finished.items():
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if domain in total_file_json:
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total_file_json[domain] = [
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x for x in total_file_json[domain] if x not in examples
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]
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return total_file_json
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def get_result(action_space, use_model, observation_type, result_dir, total_file_json):
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target_dir = os.path.join(result_dir, action_space, observation_type, use_model)
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if not os.path.exists(target_dir):
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print("New experiment, no result yet.")
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return None
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all_result = []
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for domain in os.listdir(target_dir):
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domain_path = os.path.join(target_dir, domain)
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if os.path.isdir(domain_path):
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for example_id in os.listdir(domain_path):
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example_path = os.path.join(domain_path, example_id)
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if os.path.isdir(example_path):
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if "result.txt" in os.listdir(example_path):
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try:
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value_str = open(
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os.path.join(example_path, "result.txt"), "r"
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).read()
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all_result.append(float(value_str))
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except Exception:
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all_result.append(0.0)
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if not all_result:
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print("New experiment, no result yet.")
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return None
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else:
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print("Current Success Rate:", sum(all_result) / len(all_result) * 100, "%")
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return all_result
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if __name__ == "__main__":
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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try:
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args = config()
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path_to_args = os.path.join(
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args.result_dir,
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args.action_space,
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args.observation_type,
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args.model,
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"args.json",
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)
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os.makedirs(os.path.dirname(path_to_args), exist_ok=True)
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with open(path_to_args, "w", encoding="utf-8") as f:
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json.dump(vars(args), f, indent=4)
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with open(args.test_all_meta_path, "r", encoding="utf-8") as f:
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test_all_meta = json.load(f)
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if args.domain != "all":
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test_all_meta = {args.domain: test_all_meta[args.domain]}
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test_file_list = get_unfinished(
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args.action_space,
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args.model,
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args.observation_type,
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args.result_dir,
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test_all_meta,
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)
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left_info = ""
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for domain in test_file_list:
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left_info += f"{domain}: {len(test_file_list[domain])}\n"
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logger.info(f"Left tasks:\n{left_info}")
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get_result(
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args.action_space,
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args.model,
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args.observation_type,
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args.result_dir,
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test_all_meta,
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)
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test(args, test_file_list)
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except KeyboardInterrupt:
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logger.info("Main process received KeyboardInterrupt.")
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except Exception as e:
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logger.error(f"Unexpected error in main process: {e}", exc_info=True)
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signal_handler(signal.SIGTERM, None)
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finally:
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logger.info("Main process final cleanup...")
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for env in active_environments:
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if env is not None:
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try:
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logger.info("Closing environment in final cleanup...")
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env.close()
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logger.info("Environment closed successfully in final cleanup")
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except Exception as e:
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logger.error(f"Error during final environment cleanup: {e}")
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for p in processes:
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if p is not None and p.is_alive():
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try:
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logger.info(f"Terminating process {p.name}...")
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p.terminate()
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except Exception as e:
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logger.error(f"Error terminating process: {e}")
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time.sleep(1)
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for p in processes:
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if p is not None and p.is_alive():
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try:
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|
logger.info(f"Force killing process {p.name}...")
|
|
os.kill(p.pid, signal.SIGKILL)
|
|
logger.info(f"Process {p.name} force killed")
|
|
except Exception as e:
|
|
logger.error(f"Error force killing process: {e}")
|
|
|
|
|