import docker import os def execute_python_file(file): """Execute a Python file in a Docker container and return the output""" workspace_folder = "auto_gpt_workspace" print (f"Executing file '{file}' in workspace '{workspace_folder}'") if not file.endswith(".py"): return "Error: Invalid file type. Only .py files are allowed." file_path = os.path.join(workspace_folder, file) if not os.path.isfile(file_path): return f"Error: File '{file}' does not exist." try: client = docker.from_env() image_name = 'python:3.10' try: client.images.get(image_name) print(f"Image '{image_name}' found locally") except docker.errors.ImageNotFound: print(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: print(f"{status}: {progress}") elif status: print(status) # You can replace 'python:3.8' with the desired Python image/version # You can find available Python images on Docker Hub: # https://hub.docker.com/_/python container = client.containers.run( image_name, f'python {file}', volumes={ os.path.abspath(workspace_folder): { 'bind': '/workspace', 'mode': 'ro'}}, working_dir='/workspace', stderr=True, stdout=True, detach=True, ) output = container.wait() logs = container.logs().decode('utf-8') container.remove() # print(f"Execution complete. Output: {output}") # print(f"Logs: {logs}") return logs except Exception as e: return f"Error: {str(e)}"