lollms-webui/utilities/execution_engines/shell_execution_engine.py

"""
project: lollms_webui
file: shell_execution_engine.py 
author: ParisNeo
description: 
    This is a utility for executing python code

"""
from lollms_webui import LOLLMSWebUI
from ascii_colors import get_trace_exception, trace_exception
import time
import subprocess
import json

lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()           
def execute_bash(code, discussion_id, message_id):
    def spawn_process(code):
        """Executes Python code and returns the output as JSON."""

        # Start the timer.
        start_time = time.time()

        # Create a temporary file.
        root_folder = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
        root_folder.mkdir(parents=True,exist_ok=True)
        try:
            # Execute the Python code in a temporary file.
            process = subprocess.Popen(    
                code,
                shell=True,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
            )

            # Get the output and error from the process.
            output, error = process.communicate()
        except Exception as ex:
            # Stop the timer.
            execution_time = time.time() - start_time
            error_message = f"Error executing Python code: {ex}"
            error_json = {"output": "<div class='text-red-500'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
            return error_json

        # Stop the timer.
        execution_time = time.time() - start_time

        # Check if the process was successful.
        if process.returncode != 0:
            # The child process threw an exception.
            error_message = f"Error executing Python code: {error.decode('utf8')}"
            error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
            return error_json

        # The child process was successful.
        output_json = {"output": output.decode("utf8"), "execution_time": execution_time}
        return output_json
    return spawn_process(code)