mirror of
https://github.com/aljazceru/Auto-GPT.git
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1073954fb7
* Pi's message. * Fix most everything. * Blacked * Add Typing, Docstrings everywhere, organize the code a bit. * Black * fix import * Update message, dedupe. * Increase backoff time. * bump up retries
126 lines
3.7 KiB
Python
126 lines
3.7 KiB
Python
"""Execute code in a Docker container"""
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import os
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from pathlib import Path
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import subprocess
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import docker
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from docker.errors import ImageNotFound
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WORKING_DIRECTORY = Path(__file__).parent.parent / "auto_gpt_workspace"
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def execute_python_file(file: str):
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"""Execute a Python file in a Docker container and return the output
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Args:
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file (str): The name of the file to execute
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Returns:
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str: The output of the file
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"""
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print(f"Executing file '{file}' in workspace '{WORKING_DIRECTORY}'")
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if not file.endswith(".py"):
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return "Error: Invalid file type. Only .py files are allowed."
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file_path = os.path.join(WORKING_DIRECTORY, file)
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if not os.path.isfile(file_path):
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return f"Error: File '{file}' does not exist."
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if we_are_running_in_a_docker_container():
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result = subprocess.run(
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f"python {file_path}", capture_output=True, encoding="utf8", shell=True
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)
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if result.returncode == 0:
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return result.stdout
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else:
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return f"Error: {result.stderr}"
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try:
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client = docker.from_env()
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image_name = "python:3.10"
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try:
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client.images.get(image_name)
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print(f"Image '{image_name}' found locally")
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except ImageNotFound:
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print(f"Image '{image_name}' not found locally, pulling from Docker Hub")
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# Use the low-level API to stream the pull response
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low_level_client = docker.APIClient()
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for line in low_level_client.pull(image_name, stream=True, decode=True):
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# Print the status and progress, if available
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status = line.get("status")
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progress = line.get("progress")
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if status and progress:
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print(f"{status}: {progress}")
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elif status:
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print(status)
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# You can replace 'python:3.8' with the desired Python image/version
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# You can find available Python images on Docker Hub:
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# https://hub.docker.com/_/python
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container = client.containers.run(
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image_name,
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f"python {file}",
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volumes={
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os.path.abspath(WORKING_DIRECTORY): {
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"bind": "/workspace",
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"mode": "ro",
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}
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},
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working_dir="/workspace",
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stderr=True,
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stdout=True,
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detach=True,
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)
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container.wait()
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logs = container.logs().decode("utf-8")
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container.remove()
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# print(f"Execution complete. Output: {output}")
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# print(f"Logs: {logs}")
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return logs
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except Exception as e:
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return f"Error: {str(e)}"
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def execute_shell(command_line: str) -> str:
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"""Execute a shell command and return the output
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Args:
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command_line (str): The command line to execute
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Returns:
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str: The output of the command
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"""
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current_dir = os.getcwd()
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if WORKING_DIRECTORY not in current_dir: # Change dir into workspace if necessary
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work_dir = os.path.join(os.getcwd(), WORKING_DIRECTORY)
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os.chdir(work_dir)
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print(f"Executing command '{command_line}' in working directory '{os.getcwd()}'")
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result = subprocess.run(command_line, capture_output=True, shell=True)
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output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"
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# Change back to whatever the prior working dir was
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os.chdir(current_dir)
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return output
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def we_are_running_in_a_docker_container() -> bool:
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"""Check if we are running in a Docker container
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Returns:
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bool: True if we are running in a Docker container, False otherwise
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"""
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return os.path.exists("/.dockerenv")
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