update
This commit is contained in:
32
demo.py
32
demo.py
@@ -1,16 +1,24 @@
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import signal
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import concurrent.futures
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import time
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def handler(signo, frame):
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raise RuntimeError("Timeout")
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# Define the function you want to run with a timeout
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def my_task():
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print("Task started")
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# Simulate a long-running task
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time.sleep(5)
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print("Task completed")
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return "Task result"
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signal.signal(signal.SIGALRM, handler)
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# Main program
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def main():
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with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
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future = executor.submit(my_task)
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try:
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# Wait for 2 seconds for my_task to complete
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result = future.result(timeout=2)
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print(f"Task completed with result: {result}")
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except concurrent.futures.TimeoutError:
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print("Task did not complete in time")
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while True:
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try:
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signal.alarm(5) # seconds
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time.sleep(10)
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print("Working...")
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except Exception as e :
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print(e)
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continue
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if __name__ == "__main__":
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main()
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54
run.py
54
run.py
@@ -7,7 +7,9 @@ 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 signal
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import time
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import timeout_decorator
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from desktop_env.envs.desktop_env import DesktopEnv
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from mm_agents.agent import PromptAgent
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@@ -47,9 +49,9 @@ logger.addHandler(sdebug_handler)
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logger = logging.getLogger("desktopenv.experiment")
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# make sure each example won't exceed the time limit
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def handler(signo, frame):
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raise RuntimeError("Time limit exceeded!")
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signal.signal(signal.SIGALRM, handler)
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# def handler(signo, frame):
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# raise RuntimeError("Time limit exceeded!")
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# signal.signal(signal.SIGALRM, handler)
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def config() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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@@ -148,9 +150,9 @@ def test(
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)
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os.makedirs(example_result_dir, exist_ok=True)
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# example start running
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try:
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signal.alarm(time_limit)
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@timeout_decorator.timeout(seconds=time_limit, timeout_exception=RuntimeError, exception_message="Time limit exceeded.")
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def run_single_example(agent, env, example, max_steps, instruction, args, example_result_dir, scores):
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agent.reset()
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obs = env.reset(task_config=example)
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done = False
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@@ -201,24 +203,20 @@ def test(
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logger.info("Result: %.2f", result)
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scores.append(result)
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env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
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# example start running
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try:
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# signal.alarm(time_limit)
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run_single_example(agent, env, example, max_steps, instruction, args, example_result_dir, scores)
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except RuntimeError as e:
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logger.error(f"Error in example {domain}/{example_id}: {e}")
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# save info of this example and then continue
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try:
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env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
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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({
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"Error": f"Error in example {domain}/{example_id}: {e}",
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"step": step_idx + 1,
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}))
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f.write("\n")
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except Exception as new_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({
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"Error": f"Error in example {domain}/{example_id}: {e} and {new_e}",
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"step": "before start recording",
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}))
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f.write("\n")
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env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
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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({
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"Error": f"Error in example {domain}/{example_id}: {e}"
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}))
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f.write("\n")
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continue
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env.close()
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logger.info(f"Average score: {sum(scores) / len(scores)}")
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@@ -232,9 +230,18 @@ def get_unfinished(action_space, use_model, observation_type, result_dir, total_
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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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finished[domain] = os.listdir(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" 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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@@ -259,4 +266,5 @@ if __name__ == '__main__':
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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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os.environ['OPENAI_API_KEY'] = "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"
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test(args, test_all_meta)
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