from fastapi import APIRouter, Depends, HTTPException, Query, Body from sqlalchemy.orm import Session from app.core.db import get_db from app.models import AIModel, Meeting, TranscriptTask, SummarizeTask from app.schemas.ai_model import AIModelOut, AIModelCreate, AIModelUpdate from typing import List, Optional import httpx router = APIRouter(prefix="/ai-models", tags=["ai-models"]) @router.post("/fetch-remote-models") async def fetch_remote_models(base_url: str = Body(..., embed=True)): """ Fetch available models from a remote ASR server. """ try: url = base_url.rstrip('/') + "/api/asrconfig" async with httpx.AsyncClient() as client: resp = await client.get(url, timeout=5.0) if resp.status_code != 200: raise HTTPException(status_code=400, detail=f"Failed to connect: {resp.status_code}") data = resp.json() # Check for standard response format (code 200 or 0 for success) is_success = False if isinstance(data, dict): code = data.get("code") if code == 0 or code == 200: is_success = True if is_success and "data" in data: available_models = data["data"].get("available_models", []) return {"models": available_models} else: raise HTTPException(status_code=400, detail="Invalid response format from ASR server") except httpx.RequestError as e: raise HTTPException(status_code=400, detail=f"Network error: {str(e)}") except Exception as e: raise HTTPException(status_code=400, detail=f"Error: {str(e)}") @router.get("", response_model=List[AIModelOut]) def list_ai_models( model_type: Optional[str] = Query(None, pattern="^(asr|llm)$"), db: Session = Depends(get_db) ): query = db.query(AIModel) if model_type: query = query.filter(AIModel.model_type == model_type) return query.order_by(AIModel.created_at.desc()).all() @router.post("", response_model=AIModelOut) def create_ai_model(payload: AIModelCreate, db: Session = Depends(get_db)): # Convert boolean to int for SmallInteger field data = payload.model_dump() if 'is_default' in data: data['is_default'] = int(data['is_default']) # Logic: If set as default, unset others of same type if data.get('is_default'): db.query(AIModel).filter(AIModel.model_type == payload.model_type).update({"is_default": 0}) item = AIModel(**data) db.add(item) db.commit() db.refresh(item) return item @router.put("/{model_id}", response_model=AIModelOut) def update_ai_model(model_id: int, payload: AIModelUpdate, db: Session = Depends(get_db)): item = db.query(AIModel).filter(AIModel.model_id == model_id).first() if not item: raise HTTPException(status_code=404, detail="Model not found") update_data = payload.model_dump(exclude_unset=True) if "is_default" in update_data: update_data["is_default"] = int(update_data["is_default"]) if update_data.get("is_default"): # Unset others target_type = update_data.get("model_type", item.model_type) db.query(AIModel).filter(AIModel.model_type == target_type, AIModel.model_id != item.model_id).update({"is_default": 0}) for k, v in update_data.items(): setattr(item, k, v) db.commit() db.refresh(item) return item from sqlalchemy.exc import IntegrityError @router.delete("/{model_id}") def delete_ai_model(model_id: int, db: Session = Depends(get_db)): item = db.query(AIModel).filter(AIModel.model_id == model_id).first() if not item: raise HTTPException(status_code=404, detail="Model not found") if item.is_default: raise HTTPException(status_code=400, detail="Cannot delete default model") try: # Manually unlink from related tables before deletion # Set asr_model_id to NULL in Meeting db.query(Meeting).filter(Meeting.asr_model_id == model_id).update({"asr_model_id": None}) # Set model_id to NULL in TranscriptTask db.query(TranscriptTask).filter(TranscriptTask.model_id == model_id).update({"model_id": None}) # Set model_id to NULL in SummarizeTask db.query(SummarizeTask).filter(SummarizeTask.model_id == model_id).update({"model_id": None}) db.delete(item) db.commit() except IntegrityError: db.rollback() raise HTTPException(status_code=400, detail="该模型已被其他资源引用,无法删除") return {"status": "ok"}