lollms-webui/utilities/execution_engines/latex_execution_engine.py

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"""
project: lollms_webui
file: latex_execution_engine.py
author: ParisNeo
description:
This is a utility for executing latex code
"""
from fastapi import APIRouter, Request, routing
from lollms_webui import LOLLMSWebUI
from pydantic import BaseModel
from starlette.responses import StreamingResponse
from lollms.types import MSG_TYPE
from lollms.main_config import BaseConfig
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from ascii_colors import get_trace_exception, trace_exception
from ascii_colors import ASCIIColors
from lollms.databases.discussions_database import DiscussionsDB
from pathlib import Path
from safe_store.text_vectorizer import TextVectorizer, VectorizationMethod, VisualizationMethod
import tqdm
from fastapi import FastAPI, UploadFile, File
import shutil
import time
import subprocess
import json
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from lollms.client_session import Client
from lollms.utilities import discussion_path_2_url
lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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def execute_latex(code, client:Client, message_id):
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# Start the timer.
start_time = time.time()
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# Create a temporary file.
root_folder = client.discussion.discussion_folder
root_folder.mkdir(parents=True,exist_ok=True)
tmp_file = root_folder/f"latex_file_{message_id}.tex"
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with open(tmp_file,"w", encoding="utf-8") as f:
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f.write(code)
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try:
# Determine the pdflatex command based on the provided or default path
if lollmsElfServer.config.pdf_latex_path:
pdflatex_command = lollmsElfServer.config.pdf_latex_path
else:
pdflatex_command = 'pdflatex'
# Set the execution path to the folder containing the tmp_file
execution_path = tmp_file.parent
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# Execute the Python code in a temporary file.
process = subprocess.Popen(
[pdflatex_command, "-interaction=nonstopmode", str(tmp_file)],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=execution_path
)
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# 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
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error_message = f"Error executing Python code: {ex}"
error_json = {"output": "<div class='text-red-500'>"+ex+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
return error_json
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# 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.
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pdf_file = tmp_file.with_suffix('.pdf')
print(f"PDF file generated: {pdf_file}")
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try:
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error_message = f"Error executing Python code:\n{error.decode('utf-8', errors='ignore')}"
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except:
error_message = f"Error executing Python code:\n{error}"
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if pdf_file.exists():
# The child process was successful.
pdf_file=str(pdf_file).replace("\\","/")
if not "http" in lollmsElfServer.config.host and not "https" in lollmsElfServer.config.host:
host = "http://"+lollmsElfServer.config.host
else:
host = lollmsElfServer.config.host
url = f"{host}:{lollmsElfServer.config.port}/{discussion_path_2_url(pdf_file)}"
error_json = {"output": f"<div>Pdf file generated at: {pdf_file}\n<a href='{url}' target='_blank'>Click here to show</a></div><div>Output:{output.decode('utf-8', errors='ignore')}\n</div><div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
else:
error_json = {"output": f"<div>Output:{output.decode('utf-8', errors='ignore')}\n</div><div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
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return error_json
# The child process was successful.
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# If the compilation is successful, you will get a PDF file
pdf_file = tmp_file.with_suffix('.pdf')
print(f"PDF file generated: {pdf_file}")
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# The child process was successful.
pdf_file=str(pdf_file).replace("\\","/")
if not "http" in lollmsElfServer.config.host and not "https" in lollmsElfServer.config.host:
host = "http://"+lollmsElfServer.config.host
else:
host = lollmsElfServer.config.host
url = f"{host}:{lollmsElfServer.config.port}/{discussion_path_2_url(pdf_file)}"
output_json = {"output": f"Pdf file generated at: {pdf_file}\n<a href='{url}' target='_blank'>Click here to show</a>", "execution_time": execution_time}
return output_json