mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-19 04:17:52 +00:00
68 lines
2.4 KiB
Python
68 lines
2.4 KiB
Python
"""
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project: lollms_webui
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file: python_execution_engine.py
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author: ParisNeo
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description:
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This is a utility for executing python code
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"""
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from fastapi import routing
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from lollms_webui import LOLLMSWebUI
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from ascii_colors import get_trace_exception, trace_exception
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import time
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import subprocess
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import json
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from lollms.client_session import Client
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lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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def execute_python(code, client:Client, message_id):
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def spawn_process(code):
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"""Executes Python code and returns the output as JSON."""
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# Start the timer.
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start_time = time.time()
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# Create a temporary file.
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root_folder = client.discussion.discussion_folder
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root_folder.mkdir(parents=True,exist_ok=True)
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tmp_file = root_folder/f"ai_code_{message_id}.py"
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with open(tmp_file,"w",encoding="utf8") as f:
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f.write(code)
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try:
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# Execute the Python code in a temporary file.
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process = subprocess.Popen(
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["python", str(tmp_file)],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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cwd=root_folder
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)
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# Get the output and error from the process.
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output, error = process.communicate()
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except Exception as ex:
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# Stop the timer.
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execution_time = time.time() - start_time
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error_message = f"Error executing Python code: {ex}"
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error_json = {"output": "<div class='text-red-500'>"+ex+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return error_json
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# Stop the timer.
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execution_time = time.time() - start_time
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# Check if the process was successful.
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if process.returncode != 0:
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# The child process threw an exception.
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try:
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error_message = f"Output:{output.decode('utf-8', errors='ignore')}\nError executing Python code:\n{error.decode('utf-8', errors='ignore')}"
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except:
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error_message = f"Error executing Python code:\n{error}"
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error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
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return error_json
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# The child process was successful.
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output_json = {"output": output.decode("utf8"), "execution_time": execution_time}
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return output_json
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return spawn_process(code)
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