AutoGPT/agbenchmark/agent_interface.py

89 lines
2.5 KiB
Python

import os
import shutil
import subprocess
import sys
import time
from typing import Any, Dict
from dotenv import load_dotenv
from agbenchmark.start_benchmark import CURRENT_DIRECTORY, HOME_DIRECTORY
load_dotenv()
mock_test_str = os.getenv("MOCK_TEST")
MOCK_FLAG = mock_test_str.lower() == "true" if mock_test_str else False
def run_agent(
task: str, config: Dict[str, Any], artifacts_location: str, cutoff: int
) -> None:
"""Calling to get a response"""
if MOCK_FLAG:
print("Running mock agent")
copy_artifacts_into_workspace(
config["workspace"], "artifacts_out", artifacts_location
)
else:
entry_path = "agbenchmark.benchmarks"
timeout = cutoff
if "--nc" in sys.argv:
timeout = 100000
print(f"Running '{entry_path}' with timeout {timeout}")
command = [sys.executable, "-m", entry_path, str(task)]
process = subprocess.Popen(
command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
universal_newlines=True,
cwd=HOME_DIRECTORY,
)
start_time = time.time()
while True:
output = ""
if process.stdout is not None:
output = process.stdout.readline()
print(output.strip())
# Check if process has ended, has no more output, or exceeded timeout
if (
process.poll() is not None
or output == ""
or (time.time() - start_time > timeout)
):
break
if time.time() - start_time > timeout:
print("The Python function has exceeded the time limit and was terminated.")
process.kill()
else:
print("The Python function has finished running.")
process.wait()
if process.returncode != 0:
print(f"The agent timed out")
def copy_artifacts_into_workspace(
workspace: str, artifact_folder_name: str, challenge_dir_path: str
) -> None:
# this file is at agbenchmark\agent_interface.py
source_dir = os.path.join(
CURRENT_DIRECTORY, "..", challenge_dir_path, artifact_folder_name
)
# Check if source_dir exists, if not then return immediately.
if not os.path.exists(source_dir):
return
for file_name in os.listdir(source_dir):
full_file_name = os.path.join(source_dir, file_name)
if os.path.isfile(full_file_name):
shutil.copy(full_file_name, workspace)