python-fastapi-mm-zhcs-yj-api/routers/api/spatialAnalysis/__init__.py

#!/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 *
import json
import traceback
from .point import router as pointrouter

router = APIRouter()
router.include_router(pointrouter, prefix="/point")




class location_c(BaseModel):
    x:float
    y:float

class mine(BaseModel):
    location : List=[]

@router.post('/get_info')
async def mine(request: Request,body = Depends(remove_xss_json),db: Session = Depends(get_db)):
    try:
        # 验证必需的字段
        # required_fields = ['location','location_c']
        # missing_fields = [field for field in required_fields if field not in body]
        # if missing_fields:
        #     raise HTTPException(status_code=401, detail=f"Missing required fields: {', '.join(missing_fields)}")

        # 行政镇、行政村数据
        # town_village_data,town_count,village_count = count_town_village(from_data.location,db)
        # town_village_data,town_count = get_town_list(body)
        print(time.time())
        town_village_data,town_count,village_count = get_town_village_list(body,db) #[],0,0#
        print(time.time())
        # emergency_expert_count = count_emergency_expert(from_data.location,db)
        # emergency_management_count = count_emergency_management(from_data.location,db)

        point_type_to_list = {
            1: "专家",
            2: "救援物资仓库",
            3: "应急避难场所",
            4: "易涝点",
            5: "学校",
            6: "医院",
            7: "加油站",
            8: "非煤矿山企业",
            9: "危化企业",
            10: "船舶动态",
            11: "危险化学品经营企业",
            12: "危险化学品生产企业",
            13: "危险化学品使用企业",
            14: "化工企业",
            15: "无人机",
            16: "雨窝点",
            17: "地质灾害隐患点",
            18: "矿山施工",
            # 19: "工矿商贸",
            20: "气象灾害防御重点单位",
            21: "建筑工程",
            22: "储罐",
            23: "重大危险源",
            24: "客运站",
            25: "堆场",
            26: "旅游景点",
            27: "在建工地",
            28: "运输资源",
            29: "灾害信息员", #govdata_disaster_info_officer
            30: "路网视频",
            31: "江河湖库视频",
            32: "防溺水视频",
            33: "森林火灾视频",
            34: "防灾救援视频",
            35: "救援人员单位",
            # 36: "灾害信息员", #govdata_disaster_info_officer
            37: "水利工程",
            38: "人防工程",
            39: "救助站",
            40: "救援物资",
            41: "救援队伍",
            43: "重点车辆",
            44: "儿童福利机构",
            45: "养老机构",
            46: "大中型水库",
            47: "小（1）型水库",
            48: "小（2）型水库",
            49: "屋顶山塘",
            50: "高坝山塘",
            51: "水库降等山塘",
            52: "万亩以上江堤",
            53: "万亩以上海堤",
            54: "大型水闸",
            55: "中型水闸",
            56: "防汛任务电站"
        }

        # 初始化所有列表
        lists = {key: [] for key in point_type_to_list}

        # 填充列表
        for point in get_point_list(body, db):
            if point.dataType in lists:
                lists[point.dataType].append({
                    "id": point.id,
                    "dataType": point.dataType,
                    "name": point.name,
                    "longitude": point.longitude,
                    "latitude": point.latitude,
                })

        # 构建最终的 list_1，仅包含非空列表
        list_1 = [{"name": point_type_to_list[dataType], "num": len(lst), "list": lst}
                  for dataType, lst in lists.items() if lst]

        print(time.time())


        return {
            "code": 200,
            "msg": "成功",
            "data": {
                "townData":town_village_data,
                "townCount":town_count,
                "villageCount":village_count,
                # "villageCount":village_count,
                "populationSize":0,
                "areaSize":0,
                "GDP":0,
                "list":list_1

            }
        }
    except Exception as e:
        db.rollback()
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")

@router.get('/get_mms_area_info')
async def mine(request: Request,body = Depends(remove_xss_json),db: Session = Depends(get_db)):
    try:
        with open('/home/python3/xh_twapi01/routers/api/spatialAnalysis/茂名市.json','r', encoding='utf-8') as f:
            data = json.load(f)
        features = data['features']
        result = [{'name': '高','color': '#ff2f3c',"points":[]},
            {'name': '较高', 'color': '#ffaf00',"points":[]},
            {'name': '较低', 'color': '#ffd800',"points":[]},
            {'name': '低', 'color': '#40c75f',"points":[]},]

        adcode_dit = {'高':['440902','440983'],"较高":['440904'],"较低":['440981'],"低":['440982']}
            # "440902":{'name': '高','color': '#ff2f3c'},
            # "440904": {'name': '较高', 'color': '#ffaf00'},
            # "440981": {'name': '较低', 'color': '#ffd800'},
            # "440982": {'name': '低', 'color': '#40c75f'},
            # "440983": {'name': '高', 'color': '#ff2f3c'},
        # }
        area_data = {}
        for feature in features:
            properties = feature['properties']
            area_code = properties['adcode']
            geometry = feature['geometry']
            coordinates = geometry['coordinates']
            area_data[str(area_code)]=[]
            for i in coordinates:
                area_data[str(area_code)] += i
                # result.append({"name":adcode_dit[str(area_code)]['name'],
                #                "color":adcode_dit[str(area_code)]['color'],
                #                "area_name":area_name,
                #                "area_code":area_code,
                #                "points":i})
        for i in result:
            for x in adcode_dit[i['name']]:
                i['points']+=area_data[x]
        return {
            "code": 200,
            "msg": "成功",
            "data": result}
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")