利用爬虫实现全国疫情实时监控（手机版）

文中分为六个部分，介绍如何用python等工具实现定时爬虫，完成全国疫情实时监控项目。主要用到工具：PyCharm （代码编写），python（版本为3.7.6，后台代码结构设计），Hbuilder X（2.5.1）（网页前端设计），MySQL（8.0）/MySQL workbench（数据库建设），jupyter notebook（实时代码测试），secure CRT（云服务器连接），WinSCP（远程连接云服务器，传输数据）。

一获取数据

主要获取腾讯数据中历史数据以及详细城市数据，并将之储存在MySQL中，代码如下。

# -*- coding:utf-8 -*-
"""
引入所需的库，这些均需要自行安装
"""
import pymysql
import time
import json
import traceback
import requestsdef get_tencent_data():url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) ''Chrome/80.0.3987.116 Safari/537.36'}r = requests.get(url, headers)res = json.loads(r.text)data_all = json.loads(res['data'])history = {}update_time = data_all['lastUpdateTime']ds = update_time# ds = '2020.' + time[0]# tup = time.strptime(ds, '%Y.%m.%d')# ds = time.strftime('%Y-%m-%d', tup)datanew = data_all['chinaTotal']confirm = datanew['confirm']heal = datanew['heal']dead = datanew['dead']nowConfirm = datanew['nowConfirm']suspect = datanew['suspect']nowSevere = datanew['nowSevere']history[ds] = {'confirm': confirm, 'heal': heal, 'dead': dead, 'nowConfirm': nowConfirm,'suspect': suspect, 'nowSevere': nowSevere}details = []update_time = data_all['lastUpdateTime']data_country = data_all['areaTree']data_province = data_country[0]['children']for pro_infos in data_province:province = pro_infos['name']for city_infos in pro_infos['children']:city = city_infos['name']confirm = city_infos['total']['confirm']confirm_add = city_infos['today']['confirm']heal = city_infos['total']['heal']dead = city_infos['total']['dead']details.append([update_time, province, city, confirm, confirm_add, heal, dead])return history, detailsdef get_conn():conn = pymysql.connect(host='212.64.83.45',user='root',password='cb322468437',db='cov',charset='utf8')cursor = conn.cursor()return conn, cursordef close_conn(conn, cursor):if cursor:cursor.close()if conn:conn.close()def updata_details():cursor = Noneconn = Nonetry:li = get_tencent_data()[1]conn, cursor = get_conn()sql = "insert into details(update_time,province,city,confirm,confirm_add,heal,dead) values(%s,%s,%s,%s,%s,%s,%s)"sql_query = "select %s=(select update_time from details order by id desc limit 1)"cursor.execute(sql_query, li[0][0])if not cursor.fetchone()[0]:print(f'{time.asctime()}开始更新最新数据')for item in li:cursor.execute(sql, item)conn.commit()print(f'{time.asctime()}更新最新数据完毕')else:print(f'{time.asctime()}已是最新数据')except:traceback.print_exc()finally:close_conn(conn, cursor)def insert_history():cursor = Noneconn = Nonetry:dic = get_tencent_data()[0]print(f"{time.asctime()}开始插入历史数据")conn, cursor = get_conn()sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s)"for k, v in dic.items():cursor.execute(sql,[k, v.get("confirm"), v.get("heal"), v.get("dead"), v.get("nowConfirm"), v.get("suspect"),v.get("nowSevere")])conn.commit()print(f"{time.asctime()}插入历史数据完毕")except:traceback.print_exc()finally:close_conn(conn, cursor)def update_history():cursor = Noneconn = Nonetry:dic = get_tencent_data()[0]print(f'{time.asctime()}开始更新历史数据')conn, cursor = get_conn()sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s)"sql_query = "select confirm from history where ds=%s"for k, v in dic.items():if not cursor.execute(sql_query, k):cursor.execute(sql, [k, v.get("confirm"), v.get("heal"), v.get("dead"), v.get("nowConfirm"),v.get("suspect"), v.get("nowSevere")])conn.commit()print(f'{time.asctime()}历史数据更新完毕')except:traceback.print_exc()finally:close_conn(conn, cursor)update_history()
updata_details()

其中*def get_conn():*及close_conn(conn,cursor):两个函数后期常用到，不再提及。

二可视化布局

图示为最终布局情况，HTML代码及相应css文件如下，使用python中Flask项目。
项目结构如下：

cov.html代码：

<!DOCTYPE html>
<html><head><meta charset="utf-8"><title>疫情监控追踪</title><script src="../static/js/jquery-3.4.1.min.js"></script><script src="../static/js/echarts.min.js"></script><script src="../static/js/china.js"></script><link href="../static/css/main.css" rel="stylesheet"/></head><body><div id="title">全国疫情实时追踪</div><div id="tim"></div><div id="l1">我是左一</div><div id="l2">我是左二</div><div id="c1"><div class="num"><h1></h1></div><div class="num"><h1></h1></div><div class="num"><h1></h1></div><div class="num"><h1></h1></div><div class="num"><h1></h1></div><div class="num"><h1></h1></div><div class="txt"><h2>累计确诊</h2></div><div class="txt"><h2>累计治愈</h2></div><div class="txt"><h2>累计死亡</h2></div><div class="txt"><h2>现存确诊</h2></div><div class="txt"><h2>现存疑似</h2></div><div class="txt"><h2>现存重症</h2></div></div><div id="c2">我是中二</div><div id="c3">C O P Y R I G H T @ C H  E N  G B I N 2 0 2 0</div><div id="r1">我是右一</div><div id="r2">我是右二</div><script src="../static/js/ec_center.js"></script><script src="../static/js/ec_left1.js"></script><script src="../static/js/ec_left2.js"></script><script src="../static/js/ec_right1.js"></script><script src="../static/js/ec_right2.js"></script><script src="../static/js/controller.js"> </script></body>
</html>

main.cs代码(图片1自己准备)：

body{background-image: url(images/1.jpg);
}
#title{position: absolute;width: 100%;height: 20%;top: 0;left: 0;color: white;font-size: 5rem;display: flex;align-items: center;justify-content: center;
/*  background: #333; */
}
#tim{position: absolute;height: 10%;top: 3%;right: 2%;color: #FFFFFF;font-size: 1.6rem;
}
#c1{position: absolute;width: 100%;height: 16%;top: 15%;left: 0;
/*  background: #333; */
}
.num{width: 16.6666%;float: left;display: flex;align-items: center;justify-content: center;color: gold;font-size: 1.5rem;
}
.txt{width: 16.6666%;float: left;font-family: "幼圆";font-size: 14px;display: flex;align-items: center;justify-content: center;color: white;
}
.txt h2 {margin: 0;
}#c2{position: absolute;width: 100%;height: 40%;top: 24.9999%;left: 0;
/*  background: #333; */
}
#c3{position: absolute;width: 100%;height: 3%;top: 219%;left: 0;color: white;font-size: 0.6rem;display: flex;align-items: center;justify-content: center;
/*  background: #333; */
}
#l1{position: absolute;width: 100%;height: 40%;top: 64.999%;left: 0%;
/*  background: #333; */
}
#l2{position: absolute;width: 100%;height: 40%;top: 102%;left: 0%;
/*  background: #333; */
}
#r1{position: absolute;width: 100%;height: 40%;top: 141%;left: 0;
/*  background: #333; */
}
#r2{position: absolute;width: 100%;height: 40%;top: 180%;left: 0;
/*  background: #333; */
}

三关键数字、时间更新及Echarts设计

1/时间的更新
通过前端/后台的调用，实现时间更新（右上角，数据来自html本身）。

2/总体概要数据更新（数据来自第一部分获取数据history）

3/全国地图及现存确诊病例更新（数据来自第一部分获取数据details）

用到china.js文件，自行在echarts官网下载。

4/饼图设计（数据来自第一部分获取数据history）

图像设计皆用到Echarts。

5/贵州省现存病例设计（数据来自第一部分details）

6/现存病例及疑似病例趋势设计（数据来自国家卫健委，手动）

7/累计确诊（非湖北）TOP5城市设计（数据来自第一部分details）

8/最终布局（已经启动服务器更新数据）

js代码如下：

（1）控制台js

function gettime(){$.ajax({url:"/time",timeout:10000,//超时时间设置为10秒；success:function(data){$("#tim").html(data)},error:function(xhr,type,errorThrown){},
});
}function get_c1_data(){$.ajax({url:"/c1",timeout:10000,//超时时间设置为10秒；success:function(data){$(".num h1").eq(0).text(data.confirm);$(".num h1").eq(1).text(data.heal);$(".num h1").eq(2).text(data.dead);$(".num h1").eq(3).text(data.nowConfirm);$(".num h1").eq(4).text(data.suspect);$(".num h1").eq(5).text(data.nowSevere);},error:function(xhr,type,errorThrown){},
});
}function get_c2_data(){$.ajax({url:"/c2",timeout:10000,//超时时间设置为10秒；success:function(data){ec_center_option.series[0].data=data.dataec_center.setOption(ec_center_option)},error:function(xhr,type,errorThrown){},
});
}
function get_l1_data(){$.ajax({url:"/l1",timeout:10000,//超时时间设置为10秒；success:function(data){ec_left1_option.series[0].data=data.dataec_left1.setOption(ec_left1_option)},error:function(xhr,type,errorThrown){},
});
}
function get_l2_data(){$.ajax({url:"/l2",timeout:10000,//超时时间设置为10秒；success:function(data){ec_left2_option.series[0].data=data.confirmec_left2.setOption(ec_left2_option)},error:function(xhr,type,errorThrown){},
});
}
function get_r1_data(){$.ajax({url:"/r1",timeout:10000,//超时时间设置为10秒；success:function(data){ec_right1_option.xAxis[0].data=data.dtimeec_right1_option.series[0].data=data.confirmec_right1_option.series[1].data=data.healec_right1_option.series[2].data=data.deadec_right1_option.series[3].data=data.nowConfirmec_right1.setOption(ec_right1_option)},error:function(xhr,type,errorThrown){},
});
}
function get_r2_data(){$.ajax({url:"/r2",timeout:10000,//超时时间设置为10秒；success:function(data){ec_right2_option.xAxis.data=data.cityec_right2_option.series[0].data=data.confirmec_right2.setOption(ec_right2_option)},error:function(xhr,type,errorThrown){},
});
}gettime()
get_c1_data()
get_c2_data()
get_l1_data()
get_l2_data()
// get_r1_data()
get_r2_data()setInterval(gettime,1000)
setInterval(get_c1_data,100000)
setInterval(get_c2_data,100000)
setInterval(get_l1_data,100000)
setInterval(get_l2_data,100000)
// setInterval(get_r1_data,1000)
setInterval(get_r2_data,100000)

（2）ec_center.js

var ec_center = echarts.init(document.getElementById('c2'))var mydata = [{'name':'上海', 'value': 318}, {'name':'云南', 'value': 162}]var ec_center_option = {title: {text: '各省现存病例情况',left: 'center',textStyle:{color:'white',fontSize: 30,},},tooltip: {trigger:'item'},visualMap: {show:true,x:'left',y:'bottom',textStyle:{fontSize:15,color:'white',},splitList: [{start:0, end:0},{start:1, end:49},{start:50, end:99},{start:100, end:499},{start:500, end:999},{start:1000, end:9999},{start:10000}],color: ['#1b0202',  '#4d1a1a', '#6b2f2f', '#874949', '#a56b6b', '#d7b7b7',  '#ffffff']},series: [{name:'现存确诊人数',type:'map',mapType:'china',roam:false,itemStyle: {normal: {borderwidth:.5,borderColor:'#009fe8',areaColor:'#ffefd5',},emphasis: {borderwidth:.5,borderColor:'#4b0082',areaColor:'#fff',}},lable: {normal: {show:true,fontSize:8,},emphasis: {show:true,fontSize:8,}},data:[]   //mydata}]
};
ec_center.setOption(ec_center_option)

（3）ec_left1_js

var ec_left1 = echarts.init(document.getElementById('l1'));var mydata = [{value: 1, name: '累计治愈'},  {value: 2, name: '累计死亡'},  {value: 3, name: '现存确诊'},{value: 4, name: '现存疑似'}, {value: 5, name: '现存重症'}]var ec_left1_option = {title: {text: '当日全国病例情况',textStyle:{color:'white',fontSize: 30,},subtext: '数据来自国家卫健委',left: 'center',},tooltip: {trigger: 'item',formatter: '{a} <br/>{b} : {c} ({d}%)'},legend: {orient: 'vertical',textStyle:{fontSize:15,color: 'white',},left: 'right',data: ['累计治愈', '累计死亡', '现存确诊', '现存疑似', '现存重症']},series: [{name: '现存情况',type: 'pie',radius: '65%',center: ['50%', '50%'],data: [], //mydata,emphasis: {itemStyle: {shadowBlur: 10,shadowOffsetX: 0,shadowColor: 'rgba(0, 0, 0, 0.5)'}}}]
};ec_left1.setOption(ec_left1_option)

（4）ec_left2_js

var ec_left2 = echarts.init(document.getElementById('l2'));var ec_left2_option = {title: {text: '贵州省各地州市现存病例',textStyle:{color:'white',fontSize: 30,},subtext: '数据来自贵州卫健委',left: "center"},tooltip: {trigger: 'axis',axisPointer: {type: 'shadow'}},xAxis: {type: 'value',boundaryGap: [0, 0.01],// show: false,axisLine:{lineStyle:{color: '#ffffff',}},axisLable:{interval: 0,rotate: -30,},},yAxis: {type: 'category',// show: false,data: ["贵阳", "遵义", "毕节", "黔南州", "铜仁", "黔东南州", "六盘水", "安顺", "黔西南州"],axisLable:{interval: 0,rotate: -30,},axisLine:{lineStyle:{color: '#ffffff',}}},series: [{type: 'bar',data: []}]
};ec_left2.setOption(ec_left2_option)

（5）ec_right1_js

var ec_right1 = echarts.init(document.getElementById('r1'));var ec_right1_option = {title: {text: '全国病例趋势图',textStyle:{fontSize:30,color: 'white',},left: "center"},tooltip: {trigger: 'axis',axisPointer: {type: 'line',lineStyle: {color: '#7171c6'}},},legend: {data: ['现有疑似', '现存确诊'],left: 'right',textStyle:{fontSize:15,color: 'white',},},grid: {left: '3%',right: '4%',bottom: '3%',containLabel: true},xAxis: {type: 'category',boundaryGap: false,axisLine:{lineStyle:{color: '#ffffff',}},data: ['1月20日','1月21日','1月22日','1月23日','1月24日','1月25日','1月26日','1月27日','1月28日','1月29日','1月30日','1月31日','2月1日','2月2日','2月3日','2月4日','2月5日','2月6日','2月7日','2月8日','2月9日','2月10日','2月11日','2月12日','2月13日', '2月14日','2月15日','2月16日','2月17日','2月18日','2月19日','2月20日','2月21日','2月22日','2月23日','2月24日','2月25日','2月26日','2月27日','2月28日','2月29日']},yAxis: {type: 'value',axisLine:{lineStyle:{color: '#ffffff',}}},series: [{name: '现有疑似',type: 'line',stack: '总量',data: [54,37,393,1072,1965,2684,5794,6973,9239,12167,15238,17988,19544,21558,23214,23260,24702,26359,27657,28942,23589,21675,16067,13435,10109,8969,8228,7264,6242,5248,4922,5206,5365,4148,3434,2824,2491,2358,2788,1418,851]},{name: '现存确诊',type: 'line',stack: '总量',data: [291,431,554,771,1208,1870,2613,4349,5739,7417,9308,11289,13748,16369,19381,22942,26302,28985,31774,33738,35982,37626,38800,52526,55748,56873,57416,57934,58016,57805,56303,54965,53284,51606,49824,47672,45604,43258,39919,37414,35329]},]
};ec_right1.setOption(ec_right1_option)

（6）ec_right2_js

var ec_right2 = echarts.init(document.getElementById('r2'));var ec_right2_option = {title: {text: '非湖北地区城市确诊TOP5',textStyle:{color:'white',fontSize: 30,},left:'center',},color:['#3398DB'],tooltip: {trigger: 'axis',axisPointer:{type:'shadow'}},xAxis: {type: 'category',data: [], //['Mon', 'Tue', 'Wed', 'Thu', 'Fri']axisLine:{lineStyle:{color: '#ffffff',}}},yAxis: {type: 'value',show: true,axisLine:{lineStyle:{color: '#ffffff',}},},series: [{data: [], //[120, 200, 150, 80, 70],type: 'bar',barMaxWidth: "50%"}]
};ec_right2.setOption(ec_right2_option)

2/app代码

from flask import Flask
from flask import render_template
from flask import jsonify
import time
import pymysqlapp = Flask(__name__)def get_conn():conn = pymysql.connect(host='212.64.83.45',user='root',password='cb322468437',db='cov',charset='utf8')cursor = conn.cursor()return conn, cursordef close_conn(conn, cursor):if cursor:cursor.close()if conn:conn.close()def query(sql, *args):conn, cursor = get_conn()cursor.execute(sql, args)res = cursor.fetchall()close_conn(conn, cursor)return res@app.route('/')
def hello_world():return render_template("cov.html")@app.route('/time')
def get_time():time_str = time.strftime("%Y{}%m{}%d{} %X")return time_str.format("年", "月", "日")@app.route('/c1')
def get_c1_data():sql = "select confirm, " \"heal, " \"dead," \"nowConfirm," \"suspect," \"nowSevere " \"from history " \"where ds=(select ds from history order by ds desc limit 1) "res = query(sql)data = res[0]return {"confirm": int(data[0]), "heal": int(data[1]), "dead": int(data[2]), "nowConfirm": int(data[3]), "suspect": int(data[4]),"nowSevere": int(data[5])}@app.route('/c2')
def get_c2_data():sql = "select province, sum(confirm), sum(heal), sum(dead)  from details where update_time=(select update_time from details order by update_time desc limit 1) group by province"res = query(sql)res1 = []for tup in res:print(tup)res1.append({"name": tup[0], "value": int(tup[1] - tup[2] - tup[3])})return jsonify({"data": res1})@app.route('/l1')
def get_l1_data():sql = "select heal, " \"dead," \"nowConfirm," \"suspect," \"nowSevere " \"from history " \"where ds=(select ds from history order by ds desc limit 1) "res = query(sql)data = res[0]res1 = ({"value":  int(data[0]), "name": '累计治愈'}, {"value":  int(data[1]), "name": '累计死亡'}, {"value":  int(data[2]), "name": '现存确诊'},{"value":  int(data[3]), "name": '现存疑似'}, {"value":  int(data[4]), "name": '现存重症'})return jsonify({"data": res1})@app.route('/l2')
def get_l2_data():sql = 'select city, confirm, heal, dead from details where update_time=(select update_time  from details order by update_time desc limit 1) and city in ("贵阳","遵义","毕节","黔南州","铜仁","黔东南州","六盘水","安顺","黔西南州")'res = query(sql)data = rescity = []confirm = []for a, b, c, d in data:city.append(a)confirm.append(int(b) - int(c) - int(d))return jsonify({"city": city, "confirm": confirm})@app.route('/r1')
def get_r1_data():sql = 'select ds, confirm, heal, dead, nowConfirm from history'res = query(sql)data = resday, confirm, heal, dead, nowConfirm = [], [], [], [], []for a, b, c, d, e in data:day.append(a.strftime("%m-%d, %X"))confirm.append(int(b))heal.append(int(c))dead.append(int(d))nowConfirm.append(int(e))return jsonify({"day": day, "confirm": confirm, "heal":  heal, "dead": dead, "nowConfirm": nowConfirm})@app.route('/r2')
def get_r2_data():sql = 'SELECT city, confirm FROM ' \'(select city, confirm from details ' \'where update_time=(select update_time  from details order by update_time desc limit 1)' \'and province not in ("湖北","北京","上海","天津","重庆")' \'union all ' \'select province as city, sum(confirm) as confirm from details ' \'where update_time=(select update_time from details order by update_time desc limit 1)' \'and province in ("北京","上海","天津","重庆")group by province) as a ' \'ORDER BY confirm DESC LIMIT 5'res = query(sql)data = rescity = []confirm = []for k, v in data:city.append(k)confirm.append(int(v))return jsonify({"city": city, "confirm": confirm})if __name__ == "__main__":app.run(host="0.0.0.0", port=5000)

注：代码为测试所用，内部有很多测试代码，已经注释掉。
所用python为3.7.6。

四开发模式部署

将之前设计的代码按项目结构部署，上传服务器（我是使用腾讯云服务器，Linux系统主机，sql也部署在这上面，提前安装好sql ，使用secure CRT（云服务器连接），WinSCP（远程连接云服务器，传输数据）。安装python3.7.6运行app.py（需要的pip文件自行安装），发现已经可以运行，但是此时关闭远程就停止了。

五生产模式部署

安装Nginx：yum install nginx
安装gunicorn：pip install gunicorn
启动gunicorn：gunicorn -b 127.0.0.1:8080 -D app:app
编辑Nginx配置文件：vim /etc/nginx/nginx.conf
启动Nginx:/usr/sbin/nginx

让python后台运行：

cd /root/cov
python3 app.pycd /root/cov
nohup python3 app.py

六使用crontab定时爬虫

编写spider代码(对第一部分更新)：

import pymysql
import time
import json
import traceback
import requests
import sysdef get_tencent_data():url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) ''Chrome/80.0.3987.116 Safari/537.36'}r = requests.get(url, headers)res = json.loads(r.text)data_all = json.loads(res['data'])history = {}update_time = data_all['lastUpdateTime']ds = update_time# ds = '2020.' + time[0]# tup = time.strptime(ds, '%Y.%m.%d')# ds = time.strftime('%Y-%m-%d', tup)datanew = data_all['chinaTotal']confirm = datanew['confirm']heal = datanew['heal']dead = datanew['dead']nowConfirm = datanew['nowConfirm']suspect = datanew['suspect']nowSevere = datanew['nowSevere']history[ds] = {'confirm': confirm, 'heal': heal, 'dead': dead, 'nowConfirm': nowConfirm,'suspect': suspect, 'nowSevere': nowSevere}details = []update_time = data_all['lastUpdateTime']data_country = data_all['areaTree']data_province = data_country[0]['children']for pro_infos in data_province:province = pro_infos['name']for city_infos in pro_infos['children']:city = city_infos['name']confirm = city_infos['total']['confirm']confirm_add = city_infos['today']['confirm']heal = city_infos['total']['heal']dead = city_infos['total']['dead']details.append([update_time, province, city, confirm, confirm_add, heal, dead])return history, detailsdef get_conn():conn = pymysql.connect(host='212.64.83.45',user='root',password='cb322468437',db='cov',charset='utf8')cursor = conn.cursor()return conn, cursordef close_conn(conn, cursor):if cursor:cursor.close()if conn:conn.close()def updata_details():cursor = Noneconn = Nonetry:li = get_tencent_data()[1]conn, cursor = get_conn()sql = "insert into details(update_time,province,city,confirm,confirm_add,heal,dead) values(%s,%s,%s,%s,%s,%s,%s)"sql_query = "select %s=(select update_time from details order by id desc limit 1)"cursor.execute(sql_query, li[0][0])if not cursor.fetchone()[0]:print(f'{time.asctime()}开始更新最新数据')for item in li:cursor.execute(sql, item)conn.commit()print(f'{time.asctime()}更新最新数据完毕')else:print(f'{time.asctime()}已是最新数据')except:traceback.print_exc()finally:close_conn(conn, cursor)def insert_history():cursor = Noneconn = Nonetry:dic = get_tencent_data()[0]print(f"{time.asctime()}开始插入历史数据")conn, cursor = get_conn()sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s)"for k, v in dic.items():cursor.execute(sql,[k, v.get("confirm"), v.get("heal"), v.get("dead"), v.get("nowConfirm"), v.get("suspect"),v.get("nowSevere")])conn.commit()print(f"{time.asctime()}插入历史数据完毕")except:traceback.print_exc()finally:close_conn(conn, cursor)def update_history():cursor = Noneconn = Nonetry:dic = get_tencent_data()[0]print(f'{time.asctime()}开始更新历史数据')conn, cursor = get_conn()sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s)"sql_query = "select confirm from history where ds=%s"for k, v in dic.items():if not cursor.execute(sql_query, k):cursor.execute(sql, [k, v.get("confirm"), v.get("heal"), v.get("dead"), v.get("nowConfirm"),v.get("suspect"), v.get("nowSevere")])conn.commit()print(f'{time.asctime()}历史数据更新完毕')except:traceback.print_exc()finally:close_conn(conn, cursor)if __name__ == "__main__":l = len(sys.argv)if l == 1:s = """请输入参数：参数说明：up_his 更新历史数据up_det 更新详情数据"""print(s)else:order = sys.argv[1]if order == "up_his":update_history()elif order == "up_det":updata_details()

上传服务器，放在cov文件夹。
crontab定时调度：

最终结果：

http://212.64.83.45:5000/