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https://github.com/aljazceru/Auto-GPT.git
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66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
import docker
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import os
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def execute_python_file(file):
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"""Execute a Python file in a Docker container and return the output"""
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workspace_folder = "auto_gpt_workspace"
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print (f"Executing file '{file}' in workspace '{workspace_folder}'")
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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(workspace_folder, 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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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 docker.errors.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(workspace_folder): {
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'bind': '/workspace',
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'mode': 'ro'}},
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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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output = 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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