308 lines
10 KiB
Python
308 lines
10 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, Dict
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from tqdm import tqdm
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from desktop_env.desktop_env import DesktopEnv
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# Global variables for signal handling
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active_environment = None
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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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# Logger Configs {{{ #
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def config() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Manual examination of benchmark tasks"
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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("--screen_width", type=int, default=1920)
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parser.add_argument("--screen_height", type=int, default=1080)
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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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# example config
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parser.add_argument("--domain", type=str, required=True, help="Specific domain to examine")
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parser.add_argument("--example_id", type=str, required=True, help="Specific example ID to examine")
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parser.add_argument(
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"--test_all_meta_path", type=str, default="evaluation_examples/test_all.json"
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)
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# logging related
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parser.add_argument("--result_dir", type=str, default="./results_manual")
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parser.add_argument("--log_level", type=str, choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'],
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default='INFO', help="Set the logging level")
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# aws 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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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", "manual-{:}.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", "manual-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="\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s \x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] \x1b[0m%(message)s"
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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 Configs #
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logger = logging.getLogger("desktopenv.experiment")
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def setup_example_logger(example, example_result_dir):
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"""设置特定样例的日志记录器"""
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runtime_logger = logging.getLogger(f"desktopenv.example.{example['id']}")
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runtime_logger.setLevel(logging.DEBUG)
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runtime_logger.addHandler(logging.FileHandler(os.path.join(example_result_dir, "runtime.log")))
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return runtime_logger
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def run_manual_examination(env, example, instruction, args, example_result_dir):
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"""手动检查单个样例的函数"""
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runtime_logger = setup_example_logger(example, example_result_dir)
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# 重置环境并加载任务配置
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env.reset(task_config=example)
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logger.info("环境正在初始化，请等待60秒...")
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time.sleep(60) # Wait for the environment to be ready
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# 获取初始观察
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obs = env._get_obs()
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# 保存初始状态截图
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initial_timestamp = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")
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with open(os.path.join(example_result_dir, f"initial_state_{initial_timestamp}.png"), "wb") as f:
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f.write(obs['screenshot'])
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# 记录任务信息
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with open(os.path.join(example_result_dir, "task_info.json"), "w", encoding="utf-8") as f:
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json.dump({
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"domain": args.domain,
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"example_id": args.example_id,
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"instruction": instruction,
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"initial_timestamp": initial_timestamp,
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"example_config": example
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}, f, indent=2, ensure_ascii=False)
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# 开始录制
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env.controller.start_recording()
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logger.info("="*80)
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logger.info(f"任务域: {args.domain}")
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logger.info(f"样例ID: {args.example_id}")
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logger.info(f"任务指令: {instruction}")
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logger.info("="*80)
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logger.info("环境已准备就绪！")
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logger.info("请在虚拟机中手动执行任务...")
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logger.info("完成后请按回车键继续进行评估...")
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logger.info("="*80)
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# 阻塞等待用户手动操作
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try:
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input("按回车键开始评估...")
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except KeyboardInterrupt:
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logger.info("用户中断操作")
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return None
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logger.info("开始评估...")
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# 获取最终状态截图
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final_obs = env._get_obs()
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final_timestamp = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")
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with open(os.path.join(example_result_dir, f"final_state_{final_timestamp}.png"), "wb") as f:
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f.write(final_obs['screenshot'])
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# 评估结果
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result = env.evaluate()
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logger.info(f"评估结果: {result:.2f}")
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# 保存结果
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with open(os.path.join(example_result_dir, "result.txt"), "w", encoding="utf-8") as f:
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f.write(f"{result}\n")
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# 保存执行记录
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with open(os.path.join(example_result_dir, "execution_log.jsonl"), "w", encoding="utf-8") as f:
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f.write(json.dumps({
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"type": "manual_execution",
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"initial_timestamp": initial_timestamp,
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"final_timestamp": final_timestamp,
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"result": result,
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"initial_screenshot": f"initial_state_{initial_timestamp}.png",
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"final_screenshot": f"final_state_{final_timestamp}.png"
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}, ensure_ascii=False))
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f.write("\n")
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# 结束录制
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env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
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return result
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def signal_handler(signum, frame):
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"""处理终止信号以优雅关闭环境"""
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global is_terminating, active_environment
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# 避免重复处理
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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"接收到信号 {signum}。正在优雅关闭...")
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# 关闭环境
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if active_environment:
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try:
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logger.info("正在关闭环境...")
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active_environment.close()
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logger.info("环境已成功关闭")
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except Exception as e:
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logger.error(f"关闭环境时出错: {e}")
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logger.info("关闭完成。退出程序。")
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sys.exit(0)
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def main():
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global active_environment
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# 注册信号处理器以优雅终止
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signal.signal(signal.SIGINT, signal_handler) # Handle Ctrl+C
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signal.signal(signal.SIGTERM, signal_handler) # Handle termination signal
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try:
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args = config()
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logger.info("参数: %s", args)
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# 加载指定的任务
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config_file = os.path.join(
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args.test_config_base_dir, f"examples/{args.domain}/{args.example_id}.json"
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)
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if not os.path.exists(config_file):
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logger.error(f"配置文件不存在: {config_file}")
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return
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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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# 创建结果目录
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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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"manual_examination",
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args.domain,
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args.example_id,
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)
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os.makedirs(example_result_dir, exist_ok=True)
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# 设置环境
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from desktop_env.providers.aws.manager import IMAGE_ID_MAP
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REGION = "us-east-1"
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active_environment = 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="aws",
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region=REGION,
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snapshot_name=IMAGE_ID_MAP[REGION],
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screen_size=(args.screen_width, args.screen_height),
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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 ["a11y_tree", "screenshot_a11y_tree", "som"]
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)
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# 执行手动检查
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result = run_manual_examination(
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active_environment,
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example,
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example["instruction"],
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args,
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example_result_dir
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)
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if result is not None:
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logger.info(f"手动检查完成。最终结果: {result:.2f}")
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else:
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logger.info("手动检查被中断")
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except KeyboardInterrupt:
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logger.info("主进程接收到KeyboardInterrupt")
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# 信号处理器会处理清理工作
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except Exception as e:
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logger.error(f"主进程中的意外错误: {e}", exc_info=True)
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# 也触发清理
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signal_handler(signal.SIGTERM, None)
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finally:
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# 最终清理以防任何环境或进程仍然存在
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logger.info("主进程最终清理...")
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if active_environment is not None:
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try:
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logger.info("在最终清理中关闭环境...")
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active_environment.close()
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logger.info("在最终清理中环境已成功关闭")
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except Exception as e:
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logger.error(f"最终环境清理期间出错: {e}")
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if __name__ == "__main__":
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# 禁用tokenizers并行处理避免警告
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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main() |