"""观测点数据接口"""
from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from pydantic import BaseModel
from typing import Optional
from app.core.database import get_tunnel_db
from app.core.logging_config import get_logger
from app.schemas.checkpoint import CheckpointBatchImport, CheckpointQuery
from app.schemas.common import BatchImportResponse
from app.servives.checkpoint_service import CheckpointService

router = APIRouter(prefix="/checkpoint", tags=["观测点数据"])
logger = get_logger(__name__)

class CheckpointByDepartmentQuery(BaseModel):
    """根据department_id查询观测点"""
    account_id: int
    department_id: str
    page: int = 1
    page_size: int = 20

@router.post("/import", response_model=BatchImportResponse)
async def batch_import(
    request: CheckpointBatchImport,
    db: Session = Depends(get_tunnel_db)
):
    """批量导入观测点数据"""
    logger.info(f"观测点数据导入请求: account_id={request.account_id}, 数据量={len(request.data)}")
    return CheckpointService.batch_import(db, request.account_id, request.data)

@router.post("/query")
async def query(
    request: CheckpointQuery,
    db: Session = Depends(get_tunnel_db)
):
    """查询观测点数据"""
    logger.info(f"观测点数据查询请求: {request}")
    items, total = CheckpointService.query(db, request)
    return {
        "total": total,
        "page": request.page,
        "page_size": request.page_size,
        "items": items
    }

@router.post("/query_by_department")
async def query_by_department(
    request: CheckpointByDepartmentQuery,
    db: Session = Depends(get_tunnel_db)
):
    """根据department_id查询观测点数据（包含断面里程和围岩级别）"""
    logger.info(f"根据department_id查询观测点数据: {request}")
    items, total = CheckpointService.query_by_department(
        db, request.account_id, request.department_id,
        request.page, request.page_size
    )
    return {
        "total": total,
        "page": request.page,
        "page_size": request.page_size,
        "items": items
    }