Files
gpt_academic/autogpt/commands/execute_code.py
2023-05-30 15:48:14 +08:00

215 lines
6.7 KiB
Python

"""Execute code in a Docker container"""
import os
import subprocess
from pathlib import Path
import docker
from docker.errors import ImageNotFound
from autogpt.commands.command import command
from autogpt.config import Config
from autogpt.logs import logger
@command("execute_python_file", "Execute Python File", '"filename": "<filename>"')
def execute_python_file(filename: str, config: Config) -> str:
"""Execute a Python file in a Docker container and return the output
Args:
filename (str): The name of the file to execute
Returns:
str: The output of the file
"""
logger.info(f"Executing file '{filename}'")
if not filename.endswith(".py"):
return "Error: Invalid file type. Only .py files are allowed."
if not os.path.isfile(filename):
return f"Error: File '{filename}' does not exist."
if we_are_running_in_a_docker_container():
result = subprocess.run(
["python", filename], capture_output=True, encoding="utf8"
)
if result.returncode == 0:
return result.stdout
else:
return f"Error: {result.stderr}"
try:
client = docker.from_env()
# You can replace this with the desired Python image/version
# You can find available Python images on Docker Hub:
# https://hub.docker.com/_/python
image_name = "python:3-alpine"
try:
client.images.get(image_name)
logger.warn(f"Image '{image_name}' found locally")
except ImageNotFound:
logger.info(
f"Image '{image_name}' not found locally, pulling from Docker Hub"
)
# Use the low-level API to stream the pull response
low_level_client = docker.APIClient()
for line in low_level_client.pull(image_name, stream=True, decode=True):
# Print the status and progress, if available
status = line.get("status")
progress = line.get("progress")
if status and progress:
logger.info(f"{status}: {progress}")
elif status:
logger.info(status)
container = client.containers.run(
image_name,
["python", str(Path(filename).relative_to(config.workspace_path))],
volumes={
config.workspace_path: {
"bind": "/workspace",
"mode": "ro",
}
},
working_dir="/workspace",
stderr=True,
stdout=True,
detach=True,
)
container.wait()
logs = container.logs().decode("utf-8")
container.remove()
# print(f"Execution complete. Output: {output}")
# print(f"Logs: {logs}")
return logs
except docker.errors.DockerException as e:
logger.warn(
"Could not run the script in a container. If you haven't already, please install Docker https://docs.docker.com/get-docker/"
)
return f"Error: {str(e)}"
except Exception as e:
return f"Error: {str(e)}"
def validate_command(command: str, config: Config) -> bool:
"""Validate a command to ensure it is allowed
Args:
command (str): The command to validate
Returns:
bool: True if the command is allowed, False otherwise
"""
tokens = command.split()
if not tokens:
return False
if config.deny_commands and tokens[0] not in config.deny_commands:
return False
for keyword in config.allow_commands:
if keyword in tokens:
return True
if config.allow_commands:
return False
return True
@command(
"execute_shell",
"Execute Shell Command, non-interactive commands only",
'"command_line": "<command_line>"',
lambda cfg: cfg.execute_local_commands,
"You are not allowed to run local shell commands. To execute"
" shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
"in your config file: .env - do not attempt to bypass the restriction.",
)
def execute_shell(command_line: str, config: Config) -> str:
"""Execute a shell command and return the output
Args:
command_line (str): The command line to execute
Returns:
str: The output of the command
"""
if not validate_command(command_line, config):
logger.info(f"Command '{command_line}' not allowed")
return "Error: This Shell Command is not allowed."
current_dir = Path.cwd()
# Change dir into workspace if necessary
if not current_dir.is_relative_to(config.workspace_path):
os.chdir(config.workspace_path)
logger.info(
f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
)
result = subprocess.run(command_line, capture_output=True, shell=True)
output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"
# Change back to whatever the prior working dir was
os.chdir(current_dir)
return output
@command(
"execute_shell_popen",
"Execute Shell Command, non-interactive commands only",
'"command_line": "<command_line>"',
lambda config: config.execute_local_commands,
"You are not allowed to run local shell commands. To execute"
" shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
"in your config. Do not attempt to bypass the restriction.",
)
def execute_shell_popen(command_line, config: Config) -> str:
"""Execute a shell command with Popen and returns an english description
of the event and the process id
Args:
command_line (str): The command line to execute
Returns:
str: Description of the fact that the process started and its id
"""
if not validate_command(command_line, config):
logger.info(f"Command '{command_line}' not allowed")
return "Error: This Shell Command is not allowed."
current_dir = os.getcwd()
# Change dir into workspace if necessary
if config.workspace_path not in current_dir:
os.chdir(config.workspace_path)
logger.info(
f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
)
do_not_show_output = subprocess.DEVNULL
process = subprocess.Popen(
command_line, shell=True, stdout=do_not_show_output, stderr=do_not_show_output
)
# Change back to whatever the prior working dir was
os.chdir(current_dir)
return f"Subprocess started with PID:'{str(process.pid)}'"
def we_are_running_in_a_docker_container() -> bool:
"""Check if we are running in a Docker container
Returns:
bool: True if we are running in a Docker container, False otherwise
"""
return os.path.exists("/.dockerenv")