#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from fastapi import APIRouter, Request, Depends, Query, HTTPException, status
from common.security import valid_access_token
from sqlalchemy.orm import Session
from sqlalchemy.sql import func
from common.auth_user import *
from sqlalchemy import  text
from pydantic import BaseModel
from common.BigDataCenterAPI import *
from database import get_db
from typing import List
from models import *
from utils import *
from utils.spatial import *
from utils.rainfall_util import *
import json
import traceback
from jobs.rainfall_conditions_job import get_stcd_data
from datetime import datetime,timedelta


router = APIRouter()


@router.get("/list")
async def get_list(
    area_name: str= Query(None),
    keyword: str= Query(None),
    history_time:int = Query(None),
    future_time:int = Query(None),
    db: Session = Depends(get_db),
    page: int = Query(1, gt=0, description='页码'),
    pageSize: int = Query(10, gt=0, description='每页条目数量')
):
    try:
        # 计算 OFFSET 值
        offset = (page - 1) * pageSize
        # 构造基础查询
        base_sql = "SELECT * FROM sharedb.midmap_dzzh"
        count_sql = "SELECT COUNT(*) FROM sharedb.midmap_dzzh"

        # 添加 WHERE 条件
        conditions = []
        params = {}
        if area_name:
            conditions.append("area = :area_name")
            params['area_name'] = area_name
        if keyword:
            conditions.append("`address` LIKE :keyword")
            params['keyword'] = f"%{keyword}%"

        if conditions:
            base_sql += " WHERE " + " AND ".join(conditions)
            count_sql += " WHERE " + " AND ".join(conditions)


        # 构造查询对象
        count_query = text(count_sql)#.bindparams(**params)
        # 添加 LIMIT 和 OFFSET
        # paginated_sql = base_sql
        paginated_sql = f"{base_sql} LIMIT :limit OFFSET :offset"
        params['limit'] = pageSize
        params['offset'] = offset
        paginated_query = text(paginated_sql)#.bindparams(**params)#.limit(pageSize).offset(offset)

        # 执行统计查询并获取总数据量
        total = db.execute(count_query,params).scalar()

        # 执行分页查询并获取结果
        result = db.execute(paginated_query,params).fetchall()

        # 将结果转换为rain_pits.py字典列表
        result_list = []
        for row in result:
            data = dict(row)
            data['weather_warning_type'] = '暴雨预警'
            data['weather_warninglevel'] = '3'
            if history_time:
                real_code = get_real_code(db, data['longitude'], data['latitude'])
                rainfall = get_rainfall(real_code, history_time, db)
                data['rainfall'] = rainfall
            if future_time:
                data['rainfall'] = 0
            result_list.append(data)
        return {
            "code": 200,
            "msg": "操作成功",
            "data": result_list,
            "total": total,
            "page": page,
            "pageSize": pageSize,
            "totalPages": (total + pageSize - 1) // pageSize
        }
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")


@router.get("/info")
async def get_info(
    id: str= Query(None),
    db: Session = Depends(get_db)
):
    try:
        # 构造基础查询
        base_sql = "SELECT * FROM sharedb.midmap_dzzh"
        # 添加 WHERE 条件
        conditions = []
        params = {}
        if id:
            conditions.append("id = :id")
            params['id'] = id
        else:
            return {
                "code": 200,
                "msg": "操作成功",
                "data": None
            }
        if conditions:
            base_sql += " WHERE " + " AND ".join(conditions)

        # 构造查询对象
        paginated_query = text(base_sql)#.bindparams(**params)#.limit(pageSize).offset(offset)

        # 执行分页查询并获取结果
        result = db.execute(paginated_query,params).fetchone()

        data = dict(result)

        return {
            "code": 200,
            "msg": "操作成功",
            "data": data
        }
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")