aa05f6cc26
* autoglm-os initialize * clean code * chore: use proxy for download setup * feat(autoglm-os): add parameter to toggle images * fix: use temporary directory for files pulled from the vm to prevent potential collision when running multiple instances of the same task in parallel * update * add client_password * update multienv * fix * fix prompt * fix prompt * fix prompt * fix sys prompt * feat: use proxy in file evaluator * fix client_password * fix note_prompt * fix autoglm agent cmd type * fix * revert: fix: use temporary directory for files pulled from the vm to prevent potential collision when running multiple instances of the same task in parallel reverts commit bab5473eea1de0e61b0e1d68b23ce324a5b0ee57 * feat(autoglm): setup tools * fix(autoglm): remove second time of get a11y tree * add osworld server restart * Revert "add osworld server restart" This reverts commit 7bd9d84122e246ce2a26de0e49c25494244c2b3d. * fix _launch_setup * fix autoglm agent tools & xml tree * fix desktop_env * fix bug for tool name capitalization * fix: always use proxy for setup download * add fail after exceeding max turns * fix(autoglm): avoid adding image to message when screenshot is empty * fix maximize_window * fix maximize_window * fix maximize_window * fix import browsertools module bug * fix task proxy config bug * restore setup * refactor desktop env * restore image in provider * restore file.py * refactor desktop_env * quick fix * refactor desktop_env.step * fix our env reset * add max truns constraint * clean run script * clean lib_run_single.py --------- Co-authored-by: hanyullai <hanyullai@outlook.com> Co-authored-by: JingBh <jingbohao@yeah.net>
545 lines
20 KiB
Python
545 lines
20 KiB
Python
"""Script to run end-to-end evaluation on the benchmark.
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Utils and basic architecture credit to https://github.com/web-arena-x/webarena/blob/main/run.py.
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"""
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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, current_process
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import lib_run_single
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from run_autoglm import DesktopEnv
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from mm_agents.autoglm import AutoGLMAgent
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import backoff
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import httpx
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from openai import APIConnectionError, APIError, OpenAI, RateLimitError
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from requests.exceptions import SSLError
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from tqdm import tqdm
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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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# .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="Run end-to-end evaluation on the benchmark"
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)
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# environment config
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parser.add_argument("--path_to_vm", type=str)
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parser.add_argument(
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"--headless", action="store_true", default=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="autoglm_computer_use", 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="a11y_tree",
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help="Observation type",
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)
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parser.add_argument(
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"--provider_name", type=str, default="docker", choices=["aws", "virtualbox", "vmware", "docker", "azure"], help="Provider name"
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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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parser.add_argument("--sleep_after_execution", type=float, default=1.0)
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parser.add_argument("--max_steps", type=int, default=50)
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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="autoglm-os")
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parser.add_argument("--temperature", type=float, default=0.4)
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parser.add_argument("--top_p", type=float, default=0.5)
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parser.add_argument("--max_tokens", type=int, default=4096)
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parser.add_argument("--stop_token", type=str, default=None)
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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("--num_envs", type=int, default=20, help="Number of environments to run in parallel")
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parser.add_argument("--log_level", type=str, choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], default='INFO', help="Set the logging level")
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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="\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 distribute_tasks(test_all_meta: dict) -> List[tuple]:
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"""Distribute tasks evenly across environments."""
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# Flatten the tasks into a single list
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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 process_signal_handler(signum, frame, env_idx):
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"""Signal handler for child processes to gracefully shut down their environments."""
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logger.info(f"Process {env_idx + 1} received signal {signum}. Shutting down...")
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# Get the active_environments from the caller's frame
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local_vars = frame.f_locals
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active_environments = local_vars.get('active_environments', [])
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# Close environment in the current process context
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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(f"Process {env_idx + 1} closing environment...")
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env.close()
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logger.info(f"Process {env_idx + 1} environment closed successfully")
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except Exception as e:
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logger.error(f"Process {env_idx + 1} error closing environment: {e}")
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logger.info(f"Process {env_idx + 1} shutdown complete. Exiting.")
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sys.exit(0)
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def run_env_tasks(task_queue, args, shared_scores):
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"""Run tasks for a single environment."""
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active_environments = []
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env = None
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try:
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@backoff.on_exception(
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backoff.constant,
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(RateLimitError, APIConnectionError),
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interval=0.1,
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)
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def call_llm(messages):
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logger.info("Calling LLM...")
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# set api_key and base_url by environment variables
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engine = OpenAI(timeout=60.0)
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response = engine.chat.completions.create(
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model=args.model,
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messages=messages,
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max_tokens=args.max_tokens,
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temperature=args.temperature,
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top_p=args.top_p,
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)
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logger.info("LLM called successfully.")
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return response.choices[0].message.content
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env = DesktopEnv(
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provider_name=args.provider_name,
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path_to_vm=args.path_to_vm,
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action_space=args.action_space,
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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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active_environments.append(env)
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agent = AutoGLMAgent(
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action_space=args.action_space,
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observation_type=args.observation_type,
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max_trajectory_length=args.max_trajectory_length,
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gen_func=call_llm,
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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_autoglm(
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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(
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json.dumps(
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{"Error": f"{domain}/{example_id} - {e}"}
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)
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)
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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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"""Handle termination signals (SIGINT, SIGTERM) to gracefully shutdown environments."""
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global is_terminating, active_environments, processes
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# Avoid duplicate handling
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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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# Close all registered environments in the main process
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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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# Send termination signal to all child processes first
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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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# Allow a short time for processes to handle their own cleanup
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time.sleep(1)
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# Forcefully terminate any processes that didn't exit
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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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# empty all files under example_id
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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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# empty all files under example_id
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try:
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all_result.append(
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float(
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open(
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os.path.join(example_path, "result.txt"), "r"
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).read()
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)
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)
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except:
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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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####### The complete version of the list of examples #######
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# Register signal handlers for graceful termination
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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 already defined globally above
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# save args to json in result_dir/action_space/observation_type/model/args.json
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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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)
|
|
os.makedirs(os.path.dirname(path_to_args), exist_ok=True)
|
|
with open(path_to_args, "w", encoding="utf-8") as f:
|
|
json.dump(vars(args), f, indent=4)
|
|
|
|
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.")
|
|
# Signal handler will take care of cleanup
|
|
except Exception as e:
|
|
logger.error(f"Unexpected error in main process: {e}", exc_info=True)
|
|
# Also trigger cleanup for unhandled exceptions
|
|
signal_handler(signal.SIGTERM, None)
|
|
finally:
|
|
# Final cleanup in case any environments or processes remain
|
|
logger.info("Main process final cleanup...")
|
|
for env in active_environments:
|
|
if env is not None:
|
|
try:
|
|
logger.info(f"Closing environment in final cleanup...")
|
|
env.close()
|
|
logger.info(f"Environment closed successfully in final cleanup")
|
|
except Exception as e:
|
|
logger.error(f"Error during final environment cleanup: {e}")
|
|
|
|
# First try gentle termination
|
|
for p in processes:
|
|
if p is not None and p.is_alive():
|
|
try:
|
|
logger.info(f"Terminating process {p.name}...")
|
|
p.terminate()
|
|
except Exception as e:
|
|
logger.error(f"Error terminating process: {e}")
|
|
|
|
# Wait a moment for processes to terminate
|
|
time.sleep(1)
|
|
|
|
# Then force kill if needed
|
|
for p in processes:
|
|
if p is not None and p.is_alive():
|
|
try:
|
|
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}") |