mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-19 20:37:51 +00:00
fixed some bugs and added execution engines
This commit is contained in:
parent
448d90b25e
commit
de8adeb8d4
4
app.py
4
app.py
@ -649,8 +649,8 @@ try:
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pdf_file = tmp_file.with_suffix('.pdf')
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print(f"PDF file generated: {pdf_file}")
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except subprocess.CalledProcessError as e:
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self.error(f"Error occurred while compiling LaTeX: {e}")
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except subprocess.CalledProcessError as ex:
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self.error(f"Error occurred while compiling LaTeX: {ex}")
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error_json = {"output": "<div class='text-red-500'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return json.dumps(error_json)
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62
endpoints/lollms_advanced.py
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62
endpoints/lollms_advanced.py
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@ -0,0 +1,62 @@
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"""
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project: lollms_user
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file: lollms_user.py
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author: ParisNeo
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description:
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This module contains a set of FastAPI routes that provide information about the Lord of Large Language and Multimodal Systems (LoLLMs) Web UI
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application. These routes allow users to do advanced stuff like executing code.
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"""
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from fastapi import APIRouter, Request
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from lollms_webui import LOLLMSWebUI
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from pydantic import BaseModel
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from starlette.responses import StreamingResponse
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from lollms.types import MSG_TYPE
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from lollms.main_config import BaseConfig
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from lollms.utilities import detect_antiprompt, remove_text_from_string, trace_exception
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from ascii_colors import ASCIIColors
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from api.db import DiscussionsDB
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from pathlib import Path
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from safe_store.text_vectorizer import TextVectorizer, VectorizationMethod, VisualizationMethod
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import tqdm
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from fastapi import FastAPI, UploadFile, File
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import shutil
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from utilities.execution_engines.python_execution_engine import execute_python
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from utilities.execution_engines.latex_execution_engine import execute_latex
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from utilities.execution_engines.shell_execution_engine import execute_bash
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router = APIRouter()
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lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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@router.post("/execute_code")
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async def execute_code(request: Request):
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"""
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Executes Python code and returns the output.
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:param request: The HTTP request object.
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:return: A JSON response with the status of the operation.
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"""
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try:
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data = (await request.json())
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code = data["code"]
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discussion_id = data.get("discussion_id","unknown_discussion")
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message_id = data.get("message_id","unknown_message")
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language = data.get("language","python")
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ASCIIColors.info("Executing python code:")
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ASCIIColors.yellow(code)
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if language=="python":
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return execute_python(code, discussion_id, message_id)
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elif language=="latex":
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return execute_latex(code, discussion_id, message_id)
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elif language in ["bash","shell","cmd","powershell"]:
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return execute_bash(code, discussion_id, message_id)
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return {"output": "Unsupported language", "execution_time": 0}
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except Exception as ex:
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trace_exception(ex)
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lollmsElfServer.error(ex)
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return {"status":False,"error":str(ex)}
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@ -1 +1 @@
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Subproject commit fb402a5d3d043efbecd7199ea45927d6ad37af6c
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Subproject commit c7ebbb1228a1bc48da1d953629569d60c185a011
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@ -74,6 +74,7 @@ if __name__ == "__main__":
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from endpoints.lollms_discussion import router as lollms_discussion_router
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from endpoints.lollms_message import router as lollms_message_router
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from endpoints.lollms_user import router as lollms_user_router
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from endpoints.lollms_advanced import router as lollms_advanced_router
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@ -90,11 +91,13 @@ if __name__ == "__main__":
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app.include_router(lollms_extensions_infos_router)
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app.include_router(lollms_webui_infos_router)
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app.include_router(lollms_generator_router)
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app.include_router(lollms_discussion_router)
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app.include_router(lollms_message_router)
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app.include_router(lollms_user_router)
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app.include_router(lollms_advanced_router)
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app.include_router(lollms_configuration_infos_router)
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@ -109,6 +112,8 @@ if __name__ == "__main__":
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app.mount("/", StaticFiles(directory=Path(__file__).parent/"web"/"dist", html=True), name="static")
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app = ASGIApp(socketio_server=sio, other_asgi_app=app)
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lollmsElfServer.app = app
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# if autoshow
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if config.auto_show_browser:
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75
utilities/execution_engines/latex_execution_engine.py
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75
utilities/execution_engines/latex_execution_engine.py
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@ -0,0 +1,75 @@
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"""
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project: lollms_webui
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file: latex_execution_engine.py
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author: ParisNeo
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description:
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This is a utility for executing latex code
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"""
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from fastapi import APIRouter, Request, routing
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from lollms_webui import LOLLMSWebUI
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from pydantic import BaseModel
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from starlette.responses import StreamingResponse
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from lollms.types import MSG_TYPE
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from lollms.main_config import BaseConfig
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from lollms.utilities import detect_antiprompt, remove_text_from_string, trace_exception, get_trace_exception
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from ascii_colors import ASCIIColors
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from api.db import DiscussionsDB
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from pathlib import Path
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from safe_store.text_vectorizer import TextVectorizer, VectorizationMethod, VisualizationMethod
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import tqdm
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from fastapi import FastAPI, UploadFile, File
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import shutil
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import time
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import subprocess
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import json
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lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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def execute_latex(lollmsElfServer:LOLLMSWebUI, code, discussion_id, 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 = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
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root_folder.mkdir(parents=True,exist_ok=True)
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tmp_file = root_folder/f"latex_file_{message_id}.tex"
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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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# Determine the pdflatex command based on the provided or default path
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if lollmsElfServer.config.pdf_latex_path:
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pdflatex_command = lollmsElfServer.config.pdf_latex_path
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else:
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pdflatex_command = 'pdflatex'
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# Set the execution path to the folder containing the tmp_file
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execution_path = tmp_file.parent
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# Run the pdflatex command with the file path
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result = subprocess.run([pdflatex_command, "-interaction=nonstopmode", tmp_file], check=True, capture_output=True, text=True, cwd=execution_path)
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# Check the return code of the pdflatex command
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if result.returncode != 0:
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error_message = result.stderr.strip()
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execution_time = time.time() - start_time
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error_json = {"output": f"Error occurred while compiling LaTeX: {error_message}", "execution_time": execution_time}
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return json.dumps(error_json)
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# If the compilation is successful, you will get a PDF file
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pdf_file = tmp_file.with_suffix('.pdf')
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print(f"PDF file generated: {pdf_file}")
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except subprocess.CalledProcessError as ex:
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lollmsElfServer.error(f"Error occurred while compiling LaTeX: {ex}")
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error_json = {"output": "<div class='text-red-500'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return json.dumps(error_json)
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# Stop the timer.
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execution_time = time.time() - start_time
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# The child process was successful.
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pdf_file=str(pdf_file)
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url = f"{routing.get_url_path_for(lollmsElfServer.app.router, 'main')[:-4]}{pdf_file[pdf_file.index('outputs'):]}"
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output_json = {"output": f"Pdf file generated at: {pdf_file}\n<a href='{url}'>Click here to show</a>", "execution_time": execution_time}
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return json.dumps(output_json)
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return spawn_process(code)
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165
utilities/execution_engines/python_execution_engine.py
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165
utilities/execution_engines/python_execution_engine.py
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@ -0,0 +1,165 @@
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"""
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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 APIRouter, Request, routing
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from lollms_webui import LOLLMSWebUI
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from pydantic import BaseModel
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from starlette.responses import StreamingResponse
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from lollms.types import MSG_TYPE
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from lollms.main_config import BaseConfig
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from lollms.utilities import detect_antiprompt, remove_text_from_string, trace_exception, get_trace_exception
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from ascii_colors import ASCIIColors
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from api.db import DiscussionsDB
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from pathlib import Path
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from safe_store.text_vectorizer import TextVectorizer, VectorizationMethod, VisualizationMethod
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import tqdm
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from fastapi import FastAPI, UploadFile, File
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import shutil
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import time
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import subprocess
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import json
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lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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def execute_python(code, discussion_id, 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 = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
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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 json.dumps(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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error_message = f"Error executing Python code: {error.decode('utf8')}"
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error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
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return json.dumps(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 json.dumps(output_json)
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return spawn_process(code)
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def execute_latex(lollmsElfServer:LOLLMSWebUI, code, discussion_id, 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 = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
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root_folder.mkdir(parents=True,exist_ok=True)
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tmp_file = root_folder/f"latex_file_{message_id}.tex"
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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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# Determine the pdflatex command based on the provided or default path
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if lollmsElfServer.config.pdf_latex_path:
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pdflatex_command = lollmsElfServer.config.pdf_latex_path
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else:
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pdflatex_command = 'pdflatex'
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# Set the execution path to the folder containing the tmp_file
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execution_path = tmp_file.parent
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# Run the pdflatex command with the file path
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result = subprocess.run([pdflatex_command, "-interaction=nonstopmode", tmp_file], check=True, capture_output=True, text=True, cwd=execution_path)
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# Check the return code of the pdflatex command
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if result.returncode != 0:
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error_message = result.stderr.strip()
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execution_time = time.time() - start_time
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error_json = {"output": f"Error occurred while compiling LaTeX: {error_message}", "execution_time": execution_time}
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return json.dumps(error_json)
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# If the compilation is successful, you will get a PDF file
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pdf_file = tmp_file.with_suffix('.pdf')
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print(f"PDF file generated: {pdf_file}")
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except subprocess.CalledProcessError as ex:
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lollmsElfServer.error(f"Error occurred while compiling LaTeX: {ex}")
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error_json = {"output": "<div class='text-red-500'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return json.dumps(error_json)
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# Stop the timer.
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execution_time = time.time() - start_time
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# The child process was successful.
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pdf_file=str(pdf_file)
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url = f"{routing.get_url_path_for(lollmsElfServer.app.router, 'main')[:-4]}{pdf_file[pdf_file.index('outputs'):]}"
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output_json = {"output": f"Pdf file generated at: {pdf_file}\n<a href='{url}'>Click here to show</a>", "execution_time": execution_time}
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return json.dumps(output_json)
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return spawn_process(code)
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def execute_bash(lollmsElfServer, code, discussion_id, 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 = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
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root_folder.mkdir(parents=True,exist_ok=True)
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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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code,
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shell=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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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'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return json.dumps(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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error_message = f"Error executing Python code: {error.decode('utf8')}"
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error_json = {"output": "<div class='text-red-500'>"+error_message+"</div>", "execution_time": execution_time}
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return json.dumps(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 json.dumps(output_json)
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return spawn_process(code)
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69
utilities/execution_engines/shell_execution_engine.py
Normal file
69
utilities/execution_engines/shell_execution_engine.py
Normal file
@ -0,0 +1,69 @@
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"""
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project: lollms_webui
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file: shell_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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"""
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from fastapi import APIRouter, Request, routing
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from lollms_webui import LOLLMSWebUI
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from pydantic import BaseModel
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from starlette.responses import StreamingResponse
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from lollms.types import MSG_TYPE
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from lollms.main_config import BaseConfig
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from lollms.utilities import detect_antiprompt, remove_text_from_string, trace_exception, get_trace_exception
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from ascii_colors import ASCIIColors
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from api.db import DiscussionsDB
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from pathlib import Path
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from safe_store.text_vectorizer import TextVectorizer, VectorizationMethod, VisualizationMethod
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import tqdm
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from fastapi import FastAPI, UploadFile, File
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import shutil
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import time
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import subprocess
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import json
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lollmsElfServer:LOLLMSWebUI = LOLLMSWebUI.get_instance()
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def execute_bash(lollmsElfServer, code, discussion_id, 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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|
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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 = lollmsElfServer.lollms_paths.personal_outputs_path/"discussions"/f"d_{discussion_id}"
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root_folder.mkdir(parents=True,exist_ok=True)
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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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code,
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shell=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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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'>"+str(ex)+"\n"+get_trace_exception(ex)+"</div>", "execution_time": execution_time}
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return json.dumps(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.
|
||||
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 json.dumps(error_json)
|
||||
|
||||
# The child process was successful.
|
||||
output_json = {"output": output.decode("utf8"), "execution_time": execution_time}
|
||||
return json.dumps(output_json)
|
||||
return spawn_process(code)
|
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
4
web/dist/index.html
vendored
4
web/dist/index.html
vendored
@ -6,8 +6,8 @@
|
||||
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>LoLLMS WebUI - Welcome</title>
|
||||
<script type="module" crossorigin src="/assets/index-db831b95.js"></script>
|
||||
<link rel="stylesheet" href="/assets/index-d5a593e6.css">
|
||||
<script type="module" crossorigin src="/assets/index-a1f2945d.js"></script>
|
||||
<link rel="stylesheet" href="/assets/index-299ef7d5.css">
|
||||
</head>
|
||||
<body>
|
||||
<div id="app"></div>
|
||||
|
@ -513,16 +513,16 @@ app.mixin({
|
||||
await this.$store.dispatch('refreshConfig');
|
||||
console.log("Config ready")
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Loading Database"
|
||||
this.$store.state.loading_progress = 20
|
||||
await this.$store.dispatch('refreshDatabase');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
|
||||
try{
|
||||
@ -530,8 +530,8 @@ app.mixin({
|
||||
this.$store.state.loading_progress = 30
|
||||
await this.$store.dispatch('getVersion');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
|
||||
try{
|
||||
@ -539,31 +539,31 @@ app.mixin({
|
||||
this.$store.state.loading_progress = 40
|
||||
await this.$store.dispatch('refreshBindings');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Getting Hardware usage"
|
||||
await refreshHardwareUsage(this.$store);
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Getting extensions zoo"
|
||||
this.$store.state.loading_progress = 50
|
||||
await this.$store.dispatch('refreshExtensionsZoo');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Getting mounted extensions"
|
||||
this.$store.state.loading_progress = 60
|
||||
await this.$store.dispatch('refreshmountedExtensions');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
|
||||
try{
|
||||
@ -571,16 +571,16 @@ app.mixin({
|
||||
this.$store.state.loading_progress = 70
|
||||
await this.$store.dispatch('refreshPersonalitiesZoo')
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Getting mounted personalities"
|
||||
this.$store.state.loading_progress = 80
|
||||
await this.$store.dispatch('refreshMountedPersonalities');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
|
||||
try{
|
||||
@ -588,8 +588,8 @@ app.mixin({
|
||||
this.$store.state.loading_progress = 90
|
||||
await this.$store.dispatch('refreshModelsZoo');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
try{
|
||||
this.$store.state.loading_infos = "Getting active models"
|
||||
@ -597,8 +597,8 @@ app.mixin({
|
||||
await this.$store.dispatch('refreshModels');
|
||||
await this.$store.dispatch('refreshModelStatus');
|
||||
}
|
||||
catch{
|
||||
|
||||
catch (ex){
|
||||
console.log("Error cought:", ex)
|
||||
}
|
||||
|
||||
|
||||
|
@ -3835,6 +3835,7 @@ export default {
|
||||
async unmountAll(){
|
||||
await axios.get('/unmount_all_personalities');
|
||||
this.$store.dispatch('refreshMountedPersonalities');
|
||||
this.$store.dispatch('refreshConfig');
|
||||
this.$store.state.toast.showToast("All personas unmounted", 4, true)
|
||||
},
|
||||
async unmountPersonality(pers) {
|
||||
|
Loading…
Reference in New Issue
Block a user