155 lines
4.0 KiB
Python
155 lines
4.0 KiB
Python
from typing import List, Any
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from fastapi import APIRouter, Depends, HTTPException
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from fastapi.responses import StreamingResponse
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from sqlalchemy.orm import Session, joinedload
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from app.db.session import get_db
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from app.models.user import User
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from app.models.chat import Chat, Message
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from app.models.knowledge import KnowledgeBase
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from app.schemas.chat import (
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ChatCreate,
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ChatResponse,
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ChatUpdate,
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MessageCreate,
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MessageResponse
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)
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from app.core.security import get_current_user
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from app.services.chat_service import generate_response
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router = APIRouter()
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@router.post("/", response_model=ChatResponse)
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def create_chat(
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*,
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db: Session = Depends(get_db),
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chat_in: ChatCreate,
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current_user: User = Depends(get_current_user)
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) -> Any:
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# Verify knowledge bases exist and belong to user
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knowledge_bases = (
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db.query(KnowledgeBase)
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.filter(
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KnowledgeBase.id.in_(chat_in.knowledge_base_ids),
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KnowledgeBase.user_id == current_user.id
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)
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.all()
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)
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if len(knowledge_bases) != len(chat_in.knowledge_base_ids):
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raise HTTPException(
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status_code=400,
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detail="One or more knowledge bases not found"
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)
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chat = Chat(
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title=chat_in.title,
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user_id=current_user.id,
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)
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chat.knowledge_bases = knowledge_bases
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db.add(chat)
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db.commit()
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db.refresh(chat)
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return chat
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@router.get("/", response_model=List[ChatResponse])
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def get_chats(
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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skip: int = 0,
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limit: int = 100
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) -> Any:
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chats = (
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db.query(Chat)
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.filter(Chat.user_id == current_user.id)
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.offset(skip)
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.limit(limit)
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.all()
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)
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return chats
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@router.get("/{chat_id}", response_model=ChatResponse)
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def get_chat(
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*,
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db: Session = Depends(get_db),
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chat_id: int,
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current_user: User = Depends(get_current_user)
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) -> Any:
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chat = (
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db.query(Chat)
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.filter(
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Chat.id == chat_id,
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Chat.user_id == current_user.id
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)
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.first()
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)
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if not chat:
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raise HTTPException(status_code=404, detail="Chat not found")
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return chat
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@router.post("/{chat_id}/messages")
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async def create_message(
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*,
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db: Session = Depends(get_db),
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chat_id: int,
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messages: dict,
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current_user: User = Depends(get_current_user)
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) -> StreamingResponse:
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chat = (
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db.query(Chat)
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.options(joinedload(Chat.knowledge_bases))
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.filter(
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Chat.id == chat_id,
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Chat.user_id == current_user.id
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)
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.first()
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)
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if not chat:
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raise HTTPException(status_code=404, detail="Chat not found")
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# Get the last user message
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last_message = messages["messages"][-1]
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if last_message["role"] != "user":
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raise HTTPException(status_code=400, detail="Last message must be from user")
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# Get knowledge base IDs
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knowledge_base_ids = [kb.id for kb in chat.knowledge_bases]
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async def response_stream():
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async for chunk in generate_response(
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query=last_message["content"],
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messages=messages,
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knowledge_base_ids=knowledge_base_ids,
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chat_id=chat_id,
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db=db
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):
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yield chunk
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return StreamingResponse(
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response_stream(),
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media_type="text/event-stream",
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headers={
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"x-vercel-ai-data-stream": "v1"
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}
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)
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@router.delete("/{chat_id}")
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def delete_chat(
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*,
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db: Session = Depends(get_db),
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chat_id: int,
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current_user: User = Depends(get_current_user)
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) -> Any:
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chat = (
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db.query(Chat)
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.filter(
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Chat.id == chat_id,
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Chat.user_id == current_user.id
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)
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.first()
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)
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if not chat:
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raise HTTPException(status_code=404, detail="Chat not found")
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db.delete(chat)
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db.commit()
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return {"status": "success"} |