forked from open-webui/open-webui
302 lines
9.4 KiB
Python
302 lines
9.4 KiB
Python
from bs4 import BeautifulSoup
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import json
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import markdown
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import time
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import os
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import sys
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import requests
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from fastapi import FastAPI, Request, Depends, status
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from fastapi.staticfiles import StaticFiles
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from fastapi import HTTPException
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from fastapi.middleware.wsgi import WSGIMiddleware
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from fastapi.middleware.cors import CORSMiddleware
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from starlette.exceptions import HTTPException as StarletteHTTPException
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from starlette.middleware.base import BaseHTTPMiddleware
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from apps.ollama.main import app as ollama_app
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from apps.openai.main import app as openai_app
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from apps.litellm.main import app as litellm_app, startup as litellm_app_startup
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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.web.main import app as webui_app
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from pydantic import BaseModel
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from typing import List
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from utils.utils import get_admin_user
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from apps.rag.utils import query_doc, query_collection, rag_template
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from config import (
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WEBUI_NAME,
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ENV,
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VERSION,
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CHANGELOG,
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FRONTEND_BUILD_DIR,
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MODEL_FILTER_ENABLED,
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MODEL_FILTER_LIST,
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)
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from constants import ERROR_MESSAGES
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class SPAStaticFiles(StaticFiles):
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async def get_response(self, path: str, scope):
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try:
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return await super().get_response(path, scope)
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except (HTTPException, StarletteHTTPException) as ex:
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if ex.status_code == 404:
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return await super().get_response("index.html", scope)
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else:
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raise ex
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app = FastAPI(docs_url="/docs" if ENV == "dev" else None, redoc_url=None)
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app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
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app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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origins = ["*"]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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@app.on_event("startup")
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async def on_startup():
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await litellm_app_startup()
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class RAGMiddleware(BaseHTTPMiddleware):
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async def dispatch(self, request: Request, call_next):
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if request.method == "POST" and (
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"/api/chat" in request.url.path or "/chat/completions" in request.url.path
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):
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print(request.url.path)
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# Read the original request body
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body = await request.body()
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# Decode body to string
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body_str = body.decode("utf-8")
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# Parse string to JSON
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data = json.loads(body_str) if body_str else {}
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# Example: Add a new key-value pair or modify existing ones
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# data["modified"] = True # Example modification
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if "docs" in data:
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docs = data["docs"]
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print(docs)
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last_user_message_idx = None
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for i in range(len(data["messages"]) - 1, -1, -1):
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if data["messages"][i]["role"] == "user":
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last_user_message_idx = i
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break
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user_message = data["messages"][last_user_message_idx]
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if isinstance(user_message["content"], list):
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# Handle list content input
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content_type = "list"
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query = ""
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for content_item in user_message["content"]:
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if content_item["type"] == "text":
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query = content_item["text"]
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break
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elif isinstance(user_message["content"], str):
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# Handle text content input
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content_type = "text"
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query = user_message["content"]
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else:
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# Fallback in case the input does not match expected types
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content_type = None
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query = ""
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relevant_contexts = []
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for doc in docs:
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context = None
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try:
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if doc["type"] == "collection":
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context = query_collection(
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collection_names=doc["collection_names"],
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query=query,
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k=rag_app.state.TOP_K,
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embedding_function=rag_app.state.sentence_transformer_ef,
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)
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else:
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context = query_doc(
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collection_name=doc["collection_name"],
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query=query,
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k=rag_app.state.TOP_K,
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embedding_function=rag_app.state.sentence_transformer_ef,
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)
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except Exception as e:
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print(e)
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context = None
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relevant_contexts.append(context)
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context_string = ""
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for context in relevant_contexts:
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if context:
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context_string += " ".join(context["documents"][0]) + "\n"
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ra_content = rag_template(
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template=rag_app.state.RAG_TEMPLATE,
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context=context_string,
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query=query,
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)
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if content_type == "list":
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new_content = []
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for content_item in user_message["content"]:
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if content_item["type"] == "text":
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# Update the text item's content with ra_content
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new_content.append({"type": "text", "text": ra_content})
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else:
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# Keep other types of content as they are
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new_content.append(content_item)
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new_user_message = {**user_message, "content": new_content}
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else:
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new_user_message = {
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**user_message,
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"content": ra_content,
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}
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data["messages"][last_user_message_idx] = new_user_message
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del data["docs"]
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print(data["messages"])
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modified_body_bytes = json.dumps(data).encode("utf-8")
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# Create a new request with the modified body
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scope = request.scope
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scope["body"] = modified_body_bytes
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request = Request(scope, receive=lambda: self._receive(modified_body_bytes))
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response = await call_next(request)
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return response
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async def _receive(self, body: bytes):
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return {"type": "http.request", "body": body, "more_body": False}
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app.add_middleware(RAGMiddleware)
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@app.middleware("http")
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async def check_url(request: Request, call_next):
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start_time = int(time.time())
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response = await call_next(request)
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process_time = int(time.time()) - start_time
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response.headers["X-Process-Time"] = str(process_time)
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return response
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app.mount("/api/v1", webui_app)
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app.mount("/litellm/api", litellm_app)
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app.mount("/ollama", ollama_app)
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app.mount("/openai/api", openai_app)
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app.mount("/images/api/v1", images_app)
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app.mount("/audio/api/v1", audio_app)
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app.mount("/rag/api/v1", rag_app)
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@app.get("/api/config")
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async def get_app_config():
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return {
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"status": True,
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"name": WEBUI_NAME,
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"version": VERSION,
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"images": images_app.state.ENABLED,
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"default_models": webui_app.state.DEFAULT_MODELS,
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"default_prompt_suggestions": webui_app.state.DEFAULT_PROMPT_SUGGESTIONS,
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}
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@app.get("/api/config/model/filter")
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async def get_model_filter_config(user=Depends(get_admin_user)):
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return {
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"enabled": app.state.MODEL_FILTER_ENABLED,
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"models": app.state.MODEL_FILTER_LIST,
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}
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class ModelFilterConfigForm(BaseModel):
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enabled: bool
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models: List[str]
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@app.post("/api/config/model/filter")
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async def get_model_filter_config(
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form_data: ModelFilterConfigForm, user=Depends(get_admin_user)
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):
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app.state.MODEL_FILTER_ENABLED = form_data.enabled
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app.state.MODEL_FILTER_LIST = form_data.models
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ollama_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
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ollama_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
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openai_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
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openai_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
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return {
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"enabled": app.state.MODEL_FILTER_ENABLED,
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"models": app.state.MODEL_FILTER_LIST,
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}
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@app.get("/api/version")
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async def get_app_config():
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return {
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"version": VERSION,
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}
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@app.get("/api/changelog")
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async def get_app_changelog():
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return CHANGELOG
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@app.get("/api/version/updates")
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async def get_app_latest_release_version():
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try:
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response = requests.get(
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f"https://api.github.com/repos/open-webui/open-webui/releases/latest"
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)
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response.raise_for_status()
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latest_version = response.json()["tag_name"]
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return {"current": VERSION, "latest": latest_version[1:]}
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except Exception as e:
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raise HTTPException(
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status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
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detail=ERROR_MESSAGES.RATE_LIMIT_EXCEEDED,
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)
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app.mount("/static", StaticFiles(directory="static"), name="static")
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app.mount("/cache", StaticFiles(directory="data/cache"), name="cache")
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app.mount(
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"/",
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SPAStaticFiles(directory=FRONTEND_BUILD_DIR, html=True),
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name="spa-static-files",
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)
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