forked from open-webui/open-webui
204 lines
6.2 KiB
Python
204 lines
6.2 KiB
Python
from fastapi import FastAPI, Request, Response, HTTPException, Depends
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
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import requests
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import json
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from pydantic import BaseModel
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from apps.web.models.users import Users
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from constants import ERROR_MESSAGES
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from utils.utils import (
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decode_token,
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get_current_user,
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get_verified_user,
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get_admin_user,
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)
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from config import OPENAI_API_BASE_URL, OPENAI_API_KEY, CACHE_DIR
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import hashlib
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from pathlib import Path
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_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.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
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app.state.OPENAI_API_KEY = OPENAI_API_KEY
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class UrlUpdateForm(BaseModel):
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url: str
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class KeyUpdateForm(BaseModel):
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key: str
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@app.get("/url")
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async def get_openai_url(user=Depends(get_admin_user)):
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return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
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@app.post("/url/update")
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async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
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app.state.OPENAI_API_BASE_URL = form_data.url
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return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
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@app.get("/key")
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async def get_openai_key(user=Depends(get_admin_user)):
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return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
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@app.post("/key/update")
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async def update_openai_key(form_data: KeyUpdateForm, user=Depends(get_admin_user)):
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app.state.OPENAI_API_KEY = form_data.key
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return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
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@app.post("/audio/speech")
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async def speech(request: Request, user=Depends(get_verified_user)):
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target_url = f"{app.state.OPENAI_API_BASE_URL}/audio/speech"
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if app.state.OPENAI_API_KEY == "":
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raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
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body = await request.body()
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name = hashlib.sha256(body).hexdigest()
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SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
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SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
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file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
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file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
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# Check if the file already exists in the cache
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if file_path.is_file():
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return FileResponse(file_path)
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headers = {}
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headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
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headers["Content-Type"] = "application/json"
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try:
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print("openai")
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r = requests.post(
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url=target_url,
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data=body,
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headers=headers,
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stream=True,
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)
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r.raise_for_status()
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# Save the streaming content to a file
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with open(file_path, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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with open(file_body_path, "w") as f:
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json.dump(json.loads(body.decode("utf-8")), f)
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# Return the saved file
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return FileResponse(file_path)
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except Exception as e:
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print(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']}"
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except:
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error_detail = f"External: {e}"
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raise HTTPException(status_code=r.status_code, detail=error_detail)
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@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
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async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
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target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
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print(target_url, app.state.OPENAI_API_KEY)
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if app.state.OPENAI_API_KEY == "":
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raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
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body = await request.body()
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# TODO: Remove below after gpt-4-vision fix from Open AI
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# Try to decode the body of the request from bytes to a UTF-8 string (Require add max_token to fix gpt-4-vision)
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try:
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body = body.decode("utf-8")
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body = json.loads(body)
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# Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
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# This is a workaround until OpenAI fixes the issue with this model
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if body.get("model") == "gpt-4-vision-preview":
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if "max_tokens" not in body:
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body["max_tokens"] = 4000
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print("Modified body_dict:", body)
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# Convert the modified body back to JSON
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body = json.dumps(body)
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except json.JSONDecodeError as e:
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print("Error loading request body into a dictionary:", e)
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headers = {}
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headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
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headers["Content-Type"] = "application/json"
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try:
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r = requests.request(
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method=request.method,
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url=target_url,
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data=body,
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headers=headers,
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stream=True,
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)
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r.raise_for_status()
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# Check if response is SSE
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if "text/event-stream" in r.headers.get("Content-Type", ""):
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return StreamingResponse(
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r.iter_content(chunk_size=8192),
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status_code=r.status_code,
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headers=dict(r.headers),
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)
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else:
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# For non-SSE, read the response and return it
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# response_data = (
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# r.json()
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# if r.headers.get("Content-Type", "")
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# == "application/json"
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# else r.text
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# )
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response_data = r.json()
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if "openai" in app.state.OPENAI_API_BASE_URL and path == "models":
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response_data["data"] = list(
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filter(lambda model: "gpt" in model["id"], response_data["data"])
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)
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return response_data
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except Exception as e:
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print(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']}"
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except:
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error_detail = f"External: {e}"
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raise HTTPException(status_code=r.status_code, detail=error_detail)
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