"""决策前哨路由：CRUD + 场景分析查询。"""

from fastapi import APIRouter, Depends, HTTPException, Query, status
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.database import get_db
from app.core.dependencies import get_current_user
from app.models.company import Company
from app.models.decision_sentinel import DecisionSentinel
from app.models.user import User
from app.schemas.common import ApiResponse, success
from app.services.decision_sentinel_agent import analyze_scenarios, identify_decision_points

router = APIRouter(prefix="/decision-sentinels", tags=["decision-sentinels"])


@router.get("", response_model=ApiResponse[list])
async def list_sentinels(
    company_id: str | None = Query(default=None),
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    """获取决策前哨列表。"""
    query = (
        select(DecisionSentinel)
        .join(Company, DecisionSentinel.company_id == Company.id)
        .where(Company.tenant_id == user.tenant_id)
    )
    if company_id:
        query = query.where(DecisionSentinel.company_id == company_id)
    result = await db.execute(query.order_by(DecisionSentinel.identified_at.desc()))
    items = result.scalars().all()
    return success(data=[
        {
            "id": str(i.id),
            "company_id": str(i.company_id),
            "decision_type": i.decision_type,
            "title": i.title,
            "description": i.description,
            "signals": i.signals,
            "scenarios": i.scenarios,
            "status": i.status,
            "identified_at": i.identified_at.isoformat(),
        }
        for i in items
    ])


@router.post("/identify", response_model=ApiResponse[list])
async def identify_sentinels(
    req: dict,
    user: User = Depends(get_current_user),
):
    """AI 识别决策岔路口。"""
    points = await identify_decision_points(req.get("company_context", ""))
    return success(data=points)


@router.post("/{sentinel_id}/analyze", response_model=ApiResponse[dict])
async def analyze_sentinel_scenarios(
    sentinel_id: str,
    req: dict,
    user: User = Depends(get_current_user),
):
    """AI 生成场景分析。"""
    scenarios = await analyze_scenarios(req.get("decision", {}))
    return success(data=scenarios)