mirror of
https://github.com/aljazceru/Auto-GPT.git
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94 lines
2.7 KiB
Python
94 lines
2.7 KiB
Python
import os
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import select
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import shutil
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import subprocess
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import sys
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import time
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from typing import List
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import psutil
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from dotenv import load_dotenv
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from agbenchmark.start_benchmark import CURRENT_DIRECTORY, HOME_DIRECTORY
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load_dotenv()
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helicone_graphql_logs = os.getenv("HELICONE_GRAPHQL_LOGS")
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HELICONE_GRAPHQL_LOGS = (
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helicone_graphql_logs.lower() == "true" if helicone_graphql_logs else False
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)
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def run_agent(task: str, timeout: int) -> None:
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"""Calling to get a response"""
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entry_path = "agbenchmark.benchmarks"
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print(f"Running '{entry_path}' with timeout {timeout}")
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command = [sys.executable, "-m", entry_path, str(task)]
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process = subprocess.Popen(
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command,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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universal_newlines=True,
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cwd=HOME_DIRECTORY,
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bufsize=1,
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)
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start_time = time.time()
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while True:
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try:
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# This checks if there's data to be read from stdout without blocking.
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if process.stdout and select.select([process.stdout], [], [], 0)[0]:
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output = process.stdout.readline()
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print(output.strip())
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except Exception as e:
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continue
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# Check if process has ended, has no more output, or exceeded timeout
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if process.poll() is not None or (time.time() - start_time > timeout):
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break
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if time.time() - start_time > timeout:
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print("The Python function has exceeded the time limit and was terminated.")
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parent = psutil.Process(process.pid)
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for child in parent.children(recursive=True):
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child.kill()
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parent.kill()
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else:
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print("The Python function has finished running.")
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process.wait()
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if process.returncode != 0:
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print(f"The agent timed out")
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def get_list_of_file_paths(
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challenge_dir_path: str, artifact_folder_name: str
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) -> List[str]:
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# this file is at agbenchmark\agent_interface.py
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source_dir = os.path.join(
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CURRENT_DIRECTORY, "..", challenge_dir_path, artifact_folder_name
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)
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if not os.path.exists(source_dir):
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return []
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return [os.path.join(source_dir, file_name) for file_name in os.listdir(source_dir)]
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def copy_artifacts_into_workspace(
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workspace: str | dict[str, str], artifact_folder_name: str, challenge_dir_path: str
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) -> None:
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if isinstance(workspace, dict):
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if artifact_folder_name == "artifacts_in":
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workspace = workspace["input"]
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else:
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workspace = workspace["output"]
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file_paths = get_list_of_file_paths(challenge_dir_path, artifact_folder_name)
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for file_path in file_paths:
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if os.path.isfile(file_path):
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shutil.copy(file_path, workspace)
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