Samuele E. Locatelli
137 lines
5.3 KiB
Python
137 lines
5.3 KiB
Python
# api/v1/chat.py
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import httpx
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import json
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import asyncio
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from fastapi import APIRouter, HTTPException, Query
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from fastapi.responses import StreamingResponse
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from typing import List, Dict, Any
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from models.chat import ChatRequest, ChatResponse
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from services import redis_service
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from services.history_manager import prepare_history
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from utils.logging import logger
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from config import settings
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router = APIRouter()
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@router.post("/chat", response_model=ChatResponse)
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async def chat_endpoint(payload: ChatRequest):
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try:
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session_id = payload.session_id
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if not session_id:
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meta = redis_service.create_session(payload.user_id, payload.message)
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session_id = meta["session_id"]
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redis_service.save_chat(payload.user_id, session_id, {"role": "user", "content": payload.message})
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history_to_send = await prepare_history(payload.user_id, session_id)
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#model_to_use = payload.model_name or settings.MODEL_NAME
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# Recupera modello dalla sessione
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session_meta = redis_service.get_session_meta(payload.user_id, session_id)
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model_to_use = payload.model_name or session_meta.get("model_name") or settings.MODEL_NAME
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async with httpx.AsyncClient(timeout=settings.REQUEST_TIMEOUT) as client:
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resp = await client.post(
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settings.LM_STUDIO_URL,
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json={"model": model_to_use, "messages": history_to_send},
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)
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resp.raise_for_status()
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data = resp.json()
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reply = data["choices"][0]["message"]["content"]
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redis_service.save_chat(payload.user_id, session_id, {"role": "assistant", "content": reply})
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return ChatResponse(response=reply, session_id=session_id)
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except Exception:
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logger.exception("Error in /chat endpoint")
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raise HTTPException(status_code=500, detail="Internal server error")
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@router.post("/chat-stream")
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async def chat_stream_endpoint(payload: ChatRequest):
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session_id = payload.session_id
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if not session_id:
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meta = redis_service.create_session(payload.user_id, payload.message)
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session_id = meta["session_id"]
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redis_service.save_chat(payload.user_id, session_id, {"role": "user", "content": payload.message})
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history_to_send = await prepare_history(payload.user_id, session_id)
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#model_to_use = payload.model_name or settings.MODEL_NAME
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# Recupera modello dalla sessione
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session_meta = redis_service.get_session_meta(payload.user_id, session_id)
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model_to_use = payload.model_name or session_meta.get("model_name") or settings.MODEL_NAME
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async def event_generator():
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assistant_text = ""
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try:
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async with httpx.AsyncClient(timeout=None) as client:
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async with client.stream(
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"POST",
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settings.LM_STUDIO_URL,
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json={
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"model": model_to_use,
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"messages": history_to_send,
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"stream": True
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}
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) as r:
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async for raw_line in r.aiter_lines():
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if not raw_line:
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continue
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line = raw_line if raw_line.startswith("data:") else f"data: {raw_line}"
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payload_str = line[len("data: "):].strip()
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if payload_str == "[DONE]":
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yield "data: [DONE]\n\n"
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break
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yield f"data: {payload_str}\n\n"
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try:
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obj = json.loads(payload_str)
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choice = obj.get("choices", [{}])[0]
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delta = choice.get("delta", {})
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piece = delta.get("content") or choice.get("text")
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if piece:
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assistant_text += piece
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except json.JSONDecodeError:
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pass
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await asyncio.sleep(0)
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except Exception as e:
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logger.exception("Streaming error in /chat-stream")
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yield f"event: error\ndata: {str(e)}\n\n"
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finally:
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if assistant_text:
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redis_service.save_chat(payload.user_id, session_id, {"role": "assistant", "content": assistant_text})
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headers = {
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"X-Accel-Buffering": "no"
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}
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return StreamingResponse(event_generator(), media_type="text/event-stream", headers=headers)
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@router.get("/history")
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async def get_history(
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user_id: str = Query(..., description="User ID"),
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session_id: str = Query(..., description="Session ID"),
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limit: int = Query(50, description="Max number of messages to return")
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) -> List[Dict[str, Any]]:
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logger.info(f"[GET /history] user_id={user_id}, session_id={session_id}, limit={limit}")
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history = redis_service.get_chat(user_id, session_id, limit=limit)
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return history or []
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@router.delete("/history")
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async def delete_history(
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user_id: str = Query(..., description="User ID"),
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session_id: str = Query(..., description="Session ID")
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):
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logger.info(f"[DELETE /history] user_id={user_id}, session_id={session_id}")
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redis_service.clear_chat(user_id, session_id)
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return {"status": "cleared"}
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