mirror of
https://github.com/open-webui/open-webui
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refac
This commit is contained in:
Timothy J. Baek
parent
74a4f642fd
commit
1c4e7f0324
@ -1,5 +1,6 @@
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from fastapi import FastAPI, Depends
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from fastapi.routing import APIRoute
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from fastapi.responses import StreamingResponse
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from fastapi.middleware.cors import CORSMiddleware
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from apps.webui.routers import (
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auths,
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@ -17,6 +18,7 @@ from apps.webui.routers import (
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)
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from apps.webui.models.functions import Functions
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from apps.webui.utils import load_function_module_by_id
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from utils.misc import stream_message_template
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from config import (
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WEBUI_BUILD_HASH,
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@ -37,6 +39,14 @@ from config import (
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AppConfig,
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)
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import inspect
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import uuid
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import time
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import json
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from typing import Iterator, Generator
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from pydantic import BaseModel
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app = FastAPI()
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origins = ["*"]
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@ -166,3 +176,152 @@ async def get_pipe_models():
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)
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return pipe_models
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async def generate_function_chat_completion(form_data, user):
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async def job():
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pipe_id = form_data["model"]
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if "." in pipe_id:
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pipe_id, sub_pipe_id = pipe_id.split(".", 1)
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print(pipe_id)
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# Check if function is already loaded
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if pipe_id not in app.state.FUNCTIONS:
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function_module, function_type, frontmatter = load_function_module_by_id(
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pipe_id
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)
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app.state.FUNCTIONS[pipe_id] = function_module
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else:
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function_module = app.state.FUNCTIONS[pipe_id]
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if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
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valves = Functions.get_function_valves_by_id(pipe_id)
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function_module.valves = function_module.Valves(
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**(valves if valves else {})
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)
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pipe = function_module.pipe
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# Get the signature of the function
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sig = inspect.signature(pipe)
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params = {"body": form_data}
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if "__user__" in sig.parameters:
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__user__ = {
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"id": user.id,
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"email": user.email,
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"name": user.name,
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"role": user.role,
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}
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try:
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if hasattr(function_module, "UserValves"):
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__user__["valves"] = function_module.UserValves(
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**Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id)
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)
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except Exception as e:
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print(e)
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params = {**params, "__user__": __user__}
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if form_data["stream"]:
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async def stream_content():
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try:
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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except Exception as e:
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print(f"Error: {e}")
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yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
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return
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if isinstance(res, str):
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message = stream_message_template(form_data["model"], res)
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yield f"data: {json.dumps(message)}\n\n"
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if isinstance(res, Iterator):
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for line in res:
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if isinstance(line, BaseModel):
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line = line.model_dump_json()
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line = f"data: {line}"
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try:
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line = line.decode("utf-8")
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except:
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pass
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if line.startswith("data:"):
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yield f"{line}\n\n"
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else:
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line = stream_message_template(form_data["model"], line)
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yield f"data: {json.dumps(line)}\n\n"
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = {
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"id": f"{form_data['model']}-{str(uuid.uuid4())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": form_data["model"],
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"choices": [
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{
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"index": 0,
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"delta": {},
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"logprobs": None,
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"finish_reason": "stop",
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}
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],
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}
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield f"data: [DONE]"
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return StreamingResponse(stream_content(), media_type="text/event-stream")
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else:
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try:
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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except Exception as e:
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print(f"Error: {e}")
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return {"error": {"detail": str(e)}}
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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if isinstance(res, dict):
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return res
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elif isinstance(res, BaseModel):
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return res.model_dump()
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else:
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message = ""
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if isinstance(res, str):
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message = res
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if isinstance(res, Generator):
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for stream in res:
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message = f"{message}{stream}"
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return {
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"id": f"{form_data['model']}-{str(uuid.uuid4())}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": form_data["model"],
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": message,
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},
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"logprobs": None,
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"finish_reason": "stop",
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}
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],
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}
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return await job()
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180
backend/main.py
180
backend/main.py
@ -43,7 +43,11 @@ from apps.openai.main import (
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from apps.audio.main import app as audio_app
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from apps.images.main import app as images_app
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from apps.rag.main import app as rag_app
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from apps.webui.main import app as webui_app, get_pipe_models
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from apps.webui.main import (
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app as webui_app,
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get_pipe_models,
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generate_function_chat_completion,
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)
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from pydantic import BaseModel
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@ -228,10 +232,7 @@ async def get_function_call_response(
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response = None
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try:
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if model["owned_by"] == "ollama":
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response = await generate_ollama_chat_completion(payload, user=user)
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else:
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response = await generate_openai_chat_completion(payload, user=user)
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response = await generate_chat_completions(form_data=payload, user=user)
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content = None
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@ -900,159 +901,7 @@ async def generate_chat_completions(form_data: dict, user=Depends(get_verified_u
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pipe = model.get("pipe")
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if pipe:
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async def job():
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pipe_id = form_data["model"]
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if "." in pipe_id:
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pipe_id, sub_pipe_id = pipe_id.split(".", 1)
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print(pipe_id)
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# Check if function is already loaded
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if pipe_id not in webui_app.state.FUNCTIONS:
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function_module, function_type, frontmatter = (
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load_function_module_by_id(pipe_id)
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)
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webui_app.state.FUNCTIONS[pipe_id] = function_module
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else:
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function_module = webui_app.state.FUNCTIONS[pipe_id]
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if hasattr(function_module, "valves") and hasattr(
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function_module, "Valves"
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):
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valves = Functions.get_function_valves_by_id(pipe_id)
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function_module.valves = function_module.Valves(
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**(valves if valves else {})
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)
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pipe = function_module.pipe
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# Get the signature of the function
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sig = inspect.signature(pipe)
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params = {"body": form_data}
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if "__user__" in sig.parameters:
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__user__ = {
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"id": user.id,
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"email": user.email,
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"name": user.name,
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"role": user.role,
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}
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try:
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if hasattr(function_module, "UserValves"):
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__user__["valves"] = function_module.UserValves(
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**Functions.get_user_valves_by_id_and_user_id(
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pipe_id, user.id
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)
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)
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except Exception as e:
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print(e)
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params = {**params, "__user__": __user__}
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if form_data["stream"]:
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async def stream_content():
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try:
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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except Exception as e:
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print(f"Error: {e}")
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yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
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return
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if isinstance(res, str):
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message = stream_message_template(form_data["model"], res)
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yield f"data: {json.dumps(message)}\n\n"
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if isinstance(res, Iterator):
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for line in res:
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if isinstance(line, BaseModel):
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line = line.model_dump_json()
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line = f"data: {line}"
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try:
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line = line.decode("utf-8")
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except:
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pass
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if line.startswith("data:"):
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yield f"{line}\n\n"
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else:
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line = stream_message_template(form_data["model"], line)
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yield f"data: {json.dumps(line)}\n\n"
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = {
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"id": f"{form_data['model']}-{str(uuid.uuid4())}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": form_data["model"],
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"choices": [
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{
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"index": 0,
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"delta": {},
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"logprobs": None,
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"finish_reason": "stop",
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}
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],
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}
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield f"data: [DONE]"
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return StreamingResponse(
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stream_content(), media_type="text/event-stream"
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)
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else:
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try:
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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except Exception as e:
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print(f"Error: {e}")
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return {"error": {"detail": str(e)}}
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if inspect.iscoroutinefunction(pipe):
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res = await pipe(**params)
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else:
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res = pipe(**params)
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if isinstance(res, dict):
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return res
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elif isinstance(res, BaseModel):
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return res.model_dump()
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else:
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message = ""
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if isinstance(res, str):
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message = res
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if isinstance(res, Generator):
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for stream in res:
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message = f"{message}{stream}"
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return {
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"id": f"{form_data['model']}-{str(uuid.uuid4())}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": form_data["model"],
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": message,
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},
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"logprobs": None,
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"finish_reason": "stop",
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}
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],
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}
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return await job()
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return await generate_function_chat_completion(form_data, user=user)
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if model["owned_by"] == "ollama":
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return await generate_ollama_chat_completion(form_data, user=user)
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else:
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@ -1334,10 +1183,7 @@ async def generate_title(form_data: dict, user=Depends(get_verified_user)):
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content={"detail": e.args[1]},
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)
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if model["owned_by"] == "ollama":
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return await generate_ollama_chat_completion(payload, user=user)
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else:
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return await generate_openai_chat_completion(payload, user=user)
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return await generate_chat_completions(form_data=payload, user=user)
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@app.post("/api/task/query/completions")
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@ -1397,10 +1243,7 @@ async def generate_search_query(form_data: dict, user=Depends(get_verified_user)
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content={"detail": e.args[1]},
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)
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if model["owned_by"] == "ollama":
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return await generate_ollama_chat_completion(payload, user=user)
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else:
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return await generate_openai_chat_completion(payload, user=user)
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return await generate_chat_completions(form_data=payload, user=user)
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@app.post("/api/task/emoji/completions")
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@ -1464,10 +1307,7 @@ Message: """{{prompt}}"""
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content={"detail": e.args[1]},
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)
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if model["owned_by"] == "ollama":
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return await generate_ollama_chat_completion(payload, user=user)
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else:
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return await generate_openai_chat_completion(payload, user=user)
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return await generate_chat_completions(form_data=payload, user=user)
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@app.post("/api/task/tools/completions")
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