Files
playchat/backend/app/api/chat.py
T
colcaroli 234ebba103 Add web search knowledge base, message tagging, and word-memory tip topics
Introduces websearch.py (Tavily) + knowledge.py to ground chat responses
in search results, tagging.py to tag user and assistant messages via LLM
and pick related topics for the Discord useless-tips job, and
word_memory.py to track recent conversation nouns (surfaced in the new
WordPool.vue sidebar) used to pick tip topics close to a related tag.
2026-06-20 18:06:06 +09:00

168 lines
5.3 KiB
Python

import asyncio
import uuid
from datetime import datetime, timezone
from fastapi import APIRouter, Depends, HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from sqlalchemy.orm import Session as DBSession
from app.db.database import get_db
from app.db.models import Session, Message
from app.core import memory as mem
from app.core import llm
from app.core import knowledge
from app.core.websearch import WEB_SEARCH_TOOL
from app.core.config import DEFAULT_MODEL
from app.core.tagging import tag_message_by_id
from app.core.word_memory import record_message
router = APIRouter(prefix="/chat", tags=["chat"])
class ChatRequest(BaseModel):
session_id: str | None = None
message: str
model: str | None = None
class SessionResponse(BaseModel):
id: str
title: str
model: str
updated_at: datetime
class Config:
from_attributes = True
class MessageResponse(BaseModel):
id: int
role: str
content: str
created_at: datetime
tags: list[str] = []
class Config:
from_attributes = True
@router.get("/sessions", response_model=list[SessionResponse])
def list_sessions(db: DBSession = Depends(get_db)):
return db.query(Session).order_by(Session.updated_at.desc()).all()
@router.get("/sessions/{session_id}/messages", response_model=list[MessageResponse])
def get_messages(session_id: str, db: DBSession = Depends(get_db)):
session = db.get(Session, session_id)
if not session:
raise HTTPException(status_code=404, detail="Session not found")
return [
MessageResponse(
id=m.id,
role=m.role,
content=m.content,
created_at=m.created_at,
tags=[t.tag for t in m.tags],
)
for m in session.messages
]
@router.delete("/sessions/{session_id}", status_code=204)
def delete_session(session_id: str, db: DBSession = Depends(get_db)):
session = db.get(Session, session_id)
if not session:
raise HTTPException(status_code=404, detail="Session not found")
db.delete(session)
db.commit()
@router.post("/stream")
async def stream_chat(req: ChatRequest, db: DBSession = Depends(get_db)):
# セッション取得 or 新規作成
if req.session_id:
session = db.get(Session, req.session_id)
if not session:
raise HTTPException(status_code=404, detail="Session not found")
else:
session = Session(
id=str(uuid.uuid4()),
title=req.message[:40],
model=req.model or DEFAULT_MODEL,
)
db.add(session)
db.commit()
# ユーザーメッセージを保存
user_msg = Message(session_id=session.id, role="user", content=req.message)
db.add(user_msg)
db.commit()
db.refresh(user_msg)
record_message(req.message)
asyncio.create_task(tag_message_by_id(user_msg.id))
context = mem.get_context_messages(db, session.id)
async def generate():
import json as _json
def sse(payload: dict) -> str:
return f"data: {_json.dumps(payload, ensure_ascii=False)}\n\n"
# セッションIDをまず返す(新規セッション時にフロントへ通知)
yield sse({"type": "session_id", "value": session.id})
used_model = req.model or session.model
full_response = []
try:
resolved_context, searches = await llm.resolve_web_search(
context, model=used_model, session_id=session.id,
)
if searches:
sources = [
{"title": r["title"], "url": r["url"]}
for s in searches for r in s["results"]
]
yield sse({"type": "sources", "value": sources})
for s in searches:
summary = "\n".join(r["content"][:300] for r in s["results"] if r["content"])
if summary:
knowledge.save_knowledge(db, s["query"], summary, s["results"])
search_tools = [WEB_SEARCH_TOOL] if len(resolved_context) > len(context) else None
async for chunk in llm.stream_chat(
resolved_context, model=used_model, session_id=session.id, tools=search_tools,
):
full_response.append(chunk)
yield sse({"type": "chunk", "value": chunk})
# アシスタントメッセージを保存
assistant_content = "".join(full_response)
assistant_msg = Message(session_id=session.id, role="assistant", content=assistant_content)
db.add(assistant_msg)
session.updated_at = datetime.now(timezone.utc)
db.commit()
db.refresh(assistant_msg)
record_message(assistant_content)
asyncio.create_task(tag_message_by_id(assistant_msg.id))
# メモリ要約チェック
await mem.maybe_summarize(db, session)
yield sse({"type": "done"})
except Exception as e:
yield sse({"type": "error", "value": str(e)})
return StreamingResponse(
generate(),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
"Connection": "keep-alive",
},
)