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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"id:74894\n",
"pubDate:2020-08-12 17:17:01\n",
"pubDateStr:9分钟前\n",
"title:以色列新增366例新冠肺炎确诊病例 累计86959例\n",
"summary:当地时间8月12日上午以色列卫生部公布的疫情通报显示11日23时至12日11时以色列新增366例新冠肺炎确诊病例累计达86959例无新增死亡病例累计死亡622人。截至目前现存确诊病例24761例有377人病情危重其中110人使用呼吸机已有61576人治愈康复。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74891\n",
"pubDate:2020-08-12 17:14:28\n",
"pubDateStr:11分钟前\n",
"title:巴林新增407例新冠肺炎确诊病例 累计44804例\n",
"summary:巴林卫生部当地时间12日上午发布通告确认境内新增407例新型冠状病毒肺炎确诊病例同时新增2例死亡病例。至此巴林境内累计已发现44804例新型冠状病毒肺炎确诊病例其中41504名患者已经治愈165名患者病重不治去世。3135名仍在医院接受治疗的患者中38人病情较重。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74884\n",
"pubDate:2020-08-12 16:46:46\n",
"pubDateStr:39分钟前\n",
"title:香港新增62例新冠肺炎确诊病例 连续第十日新增病例少于100例\n",
"summary:8月12日下午香港特区政府卫生署卫生防护中心举行发布会。据介绍截至12日零时香港新增62例新冠肺炎确诊病例。这是连续第十日新增确诊病例少于100例。香港累计报告新冠肺炎确诊病例4243例。  新增确诊者中有1例境外输入病例剩余61例均为本地感染病例当中有28例病例暂未查明感染源。12日香港新增四例死亡病例累计死亡63例。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74878\n",
"pubDate:2020-08-12 16:30:22\n",
"pubDateStr:55分钟前\n",
"title:菲律宾新增4444例新冠肺炎确诊病例 累计确诊143749例\n",
"summary:8月12日菲律宾卫生部发布消息称截至12日下午4点菲律宾新增4444例新冠肺炎确诊病例确诊病例累计达143749例。此外新增死亡病例93例累计死亡2404例。同时新增治愈病例636例累计治愈人数为68997人。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74869\n",
"pubDate:2020-08-12 15:52:13\n",
"pubDateStr:1小时前\n",
"title:捷克新增288例新冠肺炎确诊病例 累计18783例\n",
"summary:当地时间8月12日捷克卫生部公布的新冠肺炎疫情数据显示11日全天捷克新增288例新冠肺炎确诊病例累计确诊18783例治愈病例和死亡病例分别为13222例和391例。\n",
"infoSource:央视新闻app\n",
"\n",
"\n"
]
}
],
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import re\n",
"import json\n",
"import time\n",
"#爬取页面\n",
"class NEWS:\n",
" def __init__(self):\n",
" self.id=0\n",
" self.pubDate=''\n",
" self.pubDateStr=''\n",
" self.title=''\n",
" self.summary=''\n",
" self.infoSource=''\n",
" \n",
" def __str__(self):\n",
" return 'id:%d\\npubDate:%s\\npubDateStr:%s\\ntitle:%s\\nsummary:%s\\ninfoSource:%s\\n'%(self.id,self.pubDate,self.pubDateStr,self.title,self.summary,self.infoSource)\n",
" \n",
" \n",
"res=requests.get('http://ncov.dxy.cn/ncovh5/view/pneumonia')\n",
"#重新解码\n",
"res=res.content.decode('utf-8')\n",
"#构建对象\n",
"soup=BeautifulSoup(res,'html.parser')\n",
"#打标签\n",
"tag = soup.find('script', attrs={'id':'getTimelineService1'})\n",
"#转换为字符串\n",
"tagstr = tag.string\n",
"#使用正则表达式提取信息\n",
"results = re.findall('(\\\\{\\\"id\\\".*?\\\"provinceId\\\".*?\\\\})', tagstr)\n",
"\n",
"all_New=[]\n",
"for item in results:\n",
" New=NEWS()\n",
" obj=json.loads(item)\n",
" New.id=obj['id']\n",
" New.pubDate=time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(float(obj['pubDate'])/1000))\n",
" New.pubDateStr=obj['pubDateStr']\n",
" New.title=obj['title']\n",
" New.summary=obj['summary']\n",
" New.infoSource=obj['infoSource']\n",
" all_New.append(New)\n",
"for item in all_New:\n",
" print(item)\n",
" print()\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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[codestyle]
indentation = True
edge_line = True
edge_line_columns = 79
[main]
version = 0.2.0

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[encoding]
text_encoding = utf-8
[main]
version = 0.2.0

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[vcs]
use_version_control = False
version_control_system =
[main]
version = 0.2.0

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[workspace]
restore_data_on_startup = True
save_data_on_exit = True
save_history = True
save_non_project_files = False
[main]
version = 0.2.0
recent_files = ['spyder.py', '..\\app\\mydb.py', 'request.py']

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[codestyle]
indentation = True
edge_line = True
edge_line_columns = 79
[main]
version = 0.2.0

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[codestyle]
indentation = True
edge_line = True
edge_line_columns = 79

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[encoding]
text_encoding = utf-8

@ -0,0 +1,4 @@
[vcs]
use_version_control = False
version_control_system =

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[workspace]
restore_data_on_startup = True
save_data_on_exit = True
save_history = True
save_non_project_files = False

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[encoding]
text_encoding = utf-8
[main]
version = 0.2.0

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[vcs]
use_version_control = False
version_control_system =
[main]
version = 0.2.0

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[workspace]
restore_data_on_startup = True
save_data_on_exit = True
save_history = True
save_non_project_files = False
[main]
version = 0.2.0
recent_files = ['spyder.py', '..\\app\\mydb.py', 'request.py']

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# Default ignored files
/shelf/
/workspace.xml
# Datasource local storage ignored files
/../../../../../../../../:\Users\11607\anaconda3\envs\covid19_guangxi\app\.idea/dataSources/
/dataSources.local.xml
# Editor-based HTTP Client requests
/httpRequests/

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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="Flask">
<option name="enabled" value="true" />
</component>
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="TemplatesService">
<option name="TEMPLATE_CONFIGURATION" value="Jinja2" />
<option name="TEMPLATE_FOLDERS">
<list>
<option value="$MODULE_DIR$/templates" />
</list>
</option>
</component>
</module>

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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8" project-jdk-type="Python SDK" />
<component name="PyCharmProfessionalAdvertiser">
<option name="shown" value="true" />
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/app.iml" filepath="$PROJECT_DIR$/.idea/app.iml" />
</modules>
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$/.." vcs="Git" />
</component>
</project>

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from flask import Flask,render_template,jsonify
from mydb import MyDB
app = Flask(__name__)
mydb=MyDB('localhost','root','20Z00t10x28_my','covid19')
@app.route('/')
def hello():
return render_template('index.html', name='Jerry')
#国内各省份现有确诊病例数饼图Top5
@app.route('/province_top5_curconfirm')
def toget_province_currentConfirmedCount_top5():
global mydb
results=mydb.get_province_currentConfirmedCount_top5()#results:list
return jsonify(privinces=[x[0]for x in results],curConfirms=[x[1]for x in results])
#国内各省份累计确诊病例数柱状图Top15
@app.route('/province_top15_curconfirm')
def toget_province_confirmedCount_top15():
global mydb
results = mydb.get_province_confirmedCount_top15()
return jsonify(privincestop15=[x[0]for x in results],curConfirmstop15=[x[1]for x in results])
#国内国内每日确诊人数(折线图用
@app.route('/home_daily_datas')
def toget_home_daily_datas():
global mydb
results = mydb.get_home_daily_datas()
return jsonify(curConfirm=[x[0]for x in results],time=[x[1]for x in results])
#中国地图
@app.route('/get_province_currentConfirmedCount')
def get_province_currentConfirmedCount():
global mydb
results = mydb.get_province_currentConfirmedCount()
return jsonify(provinceShortName=[x[0] for x in results],currentConfirmedCount=[x[1] for x in results],pub_date=results[0][2])
#省份
@app.route('/get_province_daily_datas')
def get_province_daily_datas():
global mydb
results = mydb.get_province_daily_datas()
return jsonify(provinceName=[x[0] for x in results],provinceShortName=[x[1] for x in results],currentConfirmedCount=[x[2] for x in results],confirmedCount=[x[3] for x in results],suspectedCount=[x[4] for x in results],curedCount=[x[5] for x in results],deadCount=[x[6] for x in results])
# 国内疫情概况表1
@app.route('/get_home_realtime_datas')
def get_home_realtime_datas():
global mydb
results = mydb.get_home_realtime_datas()
return jsonify(curConfirm =[x[0] for x in results] ,curConfirmRelative=[x[1] for x in results],asymptomatic=[x[2] for x in results], asymptomaticRelative=[x[3] for x in results], \
unconfirmed=[x[4] for x in results], unconfirmedRelative=[x[5] for x in results], icu=[x[6] for x in results], icuRelative=[x[7] for x in results],confirmed=[x[8] for x in results],confirmedRelative=[x[9] for x in results],\
overseasInput=[x[10] for x in results],overseasInputRelative=[x[11] for x in results],cured=[x[12] for x in results],curedRelative=[x[13] for x in results],died=[x[14] for x in results],diedRelative=[x[15] for x in results])
#国外疫情概况表2
@app.route('/get_outside_realtime_datas')
def get_outside_realtime_datas():
global mydb
results = mydb.get_outside_realtime_datas()
return jsonify(confirmedCount=[x[0] for x in results],currentConfirmedCount=[x[1] for x in results],confirmedIncr=[x[2] for x in results],curedCount=[x[3] for x in results],curedIncr=[x[4] for x in results],deadCount=[x[5] for x in results],deadIncr=[x[6] for x in results])
if __name__ == "__main__":
app.run()

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import pymysql
from datetime import datetime, timedelta
import time
class MyDB:
def __init__(self, host, user, passwd, db):
self.conn = pymysql.connect(host, user, passwd, db)
self.cursor = self.conn.cursor()
def __del__(self):
self.conn.close()
# 获取当然日期
def get_cur_date(self):
date = datetime.today()
curdate = date.strftime('%Y-%m-%d')
return curdate
# 获取前N天的日期
def get_pren_date(self, n=1):
predate = datetime.today() + timedelta(-n)
predate = predate.strftime('%Y-%m-%d')
return predate
#获取国内疫情概况
def get_home_realtime_datas(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select * from home_realtime_datas where updatedTime like '%s'" % (curdate + '%')
print('+++ sql: %s' % sql)
results1 = []
try:
self.cursor.execute(sql)
results1 = self.cursor.fetchone()
n = 1
while len(results1) <= 0:
predate = self.get_pren_date(n)
sql = "select * from home_realtime_datas where updatedTime like '%s'" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results1 = self.cursor.fetchone()
n += 1
if n >= 30:
break
else:
time.sleep(1)
except Exception as e:
print(e)
return results1
#获取国外疫情概况
def get_outside_realtime_datas(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select confirmedCount,currentConfirmedCount,confirmedIncr,curedCount,curedIncr,deadCount,deadIncr from outsidesummary_realtime_datas where updatedTime like '%s'" % (curdate + '%')
print('+++ sql: %s' % sql)
results = []
try:
self.cursor.execute(sql)
results = self.cursor.fetchall()
n = 1
while len(results) <= 0:
predate = self.get_pren_date(n)
sql = "select confirmedCount,currentConfirmedCount,confirmedIncr,curedCount,curedIncr,deadCount,deadIncr from outsidesummary_realtime_datas where updatedTime like '%s'" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results = self.cursor.fetchall()
n += 1
if n >= 30:
break
else:
time.sleep(1)
except Exception as e:
print(e)
return results
#返回国内每日确诊人数(折线图用
def get_home_daily_datas(self):
sql = "select curConfirm,updatedTime from home_realtime_datas"
print('+++ sql: %s' % sql)
results1 = []
results2=[]
try:
self.cursor.execute(sql)
results1 = self.cursor.fetchall()
except Exception as e:
print(e)
for i in results1:
results2.append((i[0],i[1][5:10]))
results2=tuple(results2)
return results2
# 国内各省份累计确诊病例数柱状图Top15
def get_province_confirmedCount_top15(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select provinceShortName,confirmedCount from province_daily_datas where pub_time like '%s' order by confirmedCount desc limit 15" % (curdate + '%')
print('+++ sql: %s' % sql)
results1 = []
try:
self.cursor.execute(sql)
results1 = self.cursor.fetchall()
n = 1
while len(results1) <= 0:
predate = self.get_pren_date(n)
sql = "select provinceShortName,confirmedCount from province_daily_datas where pub_time like '%s' order by confirmedCount desc limit 15" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results1 = self.cursor.fetchall()
n += 1
if n >= 30:
break
else:
time.sleep(1)
except Exception as e:
print(e)
return results1
#国内各省份现有确诊病例数(中国地图用No )
def get_province_currentConfirmedCount(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select provinceShortName,currentConfirmedCount,pub_time from province_daily_datas where pub_time like '%s' order by currentConfirmedCount" % (curdate + '%')
print('+++ sql: %s' % sql)
results1 = []
try:
self.cursor.execute(sql)
results1 = list(self.cursor.fetchall())
n = 1
while len(results1) <= 0:
predate = self.get_pren_date(n)
sql = "select provinceShortName,currentConfirmedCount,pub_time from province_daily_datas where pub_time like '%s' order by currentConfirmedCount" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results1 = list(self.cursor.fetchall())
n += 1
if n >= 30:
break
else:
time.sleep(1)
except Exception as e:
print(e)
return results1
#国内各省份现有确诊病例数饼图Top5
def get_province_currentConfirmedCount_top5(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select provinceShortName,currentConfirmedCount from province_daily_datas where pub_time like '%s' order by currentConfirmedCount desc limit 5" % (curdate + '%')
print('+++ sql: %s' % sql)
results1 = []
try:
self.cursor.execute(sql)
results1 = list(self.cursor.fetchall())
n = 1
f = False
while len(results1) <= 0:
f = True
predate = self.get_pren_date(n)
sql = "select provinceShortName,currentConfirmedCount from province_daily_datas where pub_time like '%s' order by currentConfirmedCount desc limit 5" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results1 = list(self.cursor.fetchall())
n += 1
if n >= 30:
break
else:
time.sleep(1)
print(f)
print(curdate)
if(f):
sql = "select curConfirm from home_realtime_datas where updatedTime like '%s';" % (predate + '%')
else:
sql = "select curConfirm from home_realtime_datas where updatedTime like '%s';" % (curdate + '%')
self.cursor.execute(sql)
results2 = self.cursor.fetchone()
results1.append(("其他",results2[0]))
except Exception as e:
print(e)
results1=tuple(results1)
return results1
#获取省疫情信息
def get_province_daily_datas(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select * from province_daily_datas where pub_time like '%s'" % (curdate + '%')
print('+++ sql: %s' % sql)
results1 = []
try:
self.cursor.execute(sql)
results1 = self.cursor.fetchall()
n = 1
while len(results1) <= 0:
predate = self.get_pren_date(n)
sql = "select * from province_daily_datas where pub_time like '%s'" % (predate + '%')
print('+++ presql: %s' % sql)
self.cursor.execute(sql)
results1 = self.cursor.fetchall()
n += 1
if n >= 30:
break
else:
time.sleep(1)
except Exception as e:
print(e)
return results1
#mydb = MyDB('localhost', 'root', 'kfq991122', 'covid19')
#results = mydb.get_home_realtime_datas()
#print(results)

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* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
li {
list-style: none;
}
@font-face {
font-family: electronicFont;
src: url(../font/DS-DIGIT.TTF);
}
body {
background: url(../images//bg.jpg) /*no-repeat top*/ fixed;
line-height: 1.15;
}
header {
position: relative;
height: 2.5rem;
background: url(../images/head_bg.png) no-repeat;
background-size: 100% 100%;
}
header h1 {
font-size: 0.5rem;
color: rgba(255, 255, 255, 0.87);
text-align: center;
line-height: 1rem;
}
header .show-time {
position: absolute;
top: 1rem;
right: 9rem;
line-height: 0.9375rem;
color: rgba(255, 255, 255, 0.7);
font-size: 0.25rem;
}
.mainbox {
display: flex;
min-width: 1024px;
max-height: 1920px;
margin: 0 auto;
padding: 0.125rem 0.125rem 0;
}
.mainbox .column {
flex: 3;
}
.mainbox .column:nth-child(2) {
flex: 5;
margin: 0 0.125rem 0.1875rem;
overflow: hidden;
}
.mainbox .panel {
position: relative;
height: 3.875rem;
padding: 0 0.1875rem 0.5rem;
margin-bottom: 0.1875rem;
border: 1px solid rgba(25, 186, 139, 0.17);
background: url(../images/line.png) rgba(255, 255, 255, 0.03);
}
.mainbox .panel::before {
position: absolute;
top: 0;
left: 0;
width: 10px;
height: 10px;
border-left: 2px solid #02a6b5;
border-top: 2px solid #02a6b5;
content: '';
}
.mainbox .panel::after {
position: absolute;
top: 0;
right: 0;
width: 10px;
height: 10px;
border-right: 2px solid #02a6b5;
border-top: 2px solid #02a6b5;
content: '';
}
.mainbox .panel .panel-footer {
position: absolute;
bottom: 0;
left: 0;
width: 100%;
}
.mainbox .panel .panel-footer::before {
position: absolute;
bottom: 0;
left: 0;
width: 10px;
height: 10px;
border-left: 2px solid #02a6b5;
border-bottom: 2px solid #02a6b5;
content: '';
}
.mainbox .panel .panel-footer::after {
position: absolute;
bottom: 0;
right: 0;
width: 10px;
height: 10px;
border-right: 2px solid #02a6b5;
border-bottom: 2px solid #02a6b5;
content: '';
}
.mainbox .panel h2 {
height: 0.6rem;
color: #fff;
line-height: 0.6rem;
text-align: center;
font-size: 0.25rem;
font-weight: 400;
}
.mainbox .panel h2 a {
color: #a7a7a7;
text-decoration: none;
margin: 0 0.125rem;
}
.mainbox .panel h2 .a-active {
color: #fff;
}
.mainbox .panel .chart {
height: 3rem;
}
.no {
background-color: rgba(101, 132, 226, 0.1);
padding: 0.1875rem;
}
.no .no-hd {
position: relative;
border: 1px solid rgba(25, 186, 139, 0.17);
}
.no .no-hd::before {
position: absolute;
top: 0;
left: 0;
width: 0.375rem;
height: 0.125rem;
border-top: 2px solid #02a6b5;
border-left: 2px solid #02a6b5;
content: '';
}
.no .no-hd::after {
position: absolute;
bottom: 0;
right: 0;
width: 0.375rem;
height: 0.125rem;
border-bottom: 2px solid #02a6b5;
border-right: 2px solid #02a6b5;
content: '';
}
.no .no-hd ul {
display: flex;
}
.no .no-hd ul li {
position: relative;
flex: 1;
line-height: 1rem;
font-size: 0.45rem;
color: #ffeb7b;
text-align: center;
font-family: electronicFont;
}
.no .no-hd ul li:first-child::after {
content: '';
position: absolute;
top: 25%;
right: 0;
height: 50%;
width: 1px;
background-color: rgba(255, 255, 255, 0.3);
}
.no .no-bd ul {
display: flex;
}
.no .no-bd ul li {
flex: 1;
text-align: center;
color: rgba(255, 255, 255, 0.7);
font-size: 0.225rem;
height: 0.5rem;
line-height: 0.5rem;
padding-top: 0.125rem;
}
.map {
position: relative;
height: 10.125rem;
}
.map .map1 {
width: 6.475rem;
height: 6.475rem;
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
background: url(../images/map.png);
background-size: 100% 100%;
opacity: 0.3;
}
.map .map2 {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
width: 8.0375rem;
height: 8.0375rem;
background: url(../images/lbx.png);
background-size: 100% 100%;
animation: rotate1 15s linear infinite;
opacity: 0.6;
}
.map .map3 {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
width: 7.075rem;
height: 7.075rem;
background: url(../images/jt.png);
background-size: 100% 100%;
animation: rotate2 15s linear infinite;
}
.map .chart {
position: absolute;
top: 0;
left: 0;
height: 10.125rem;
width: 100%;
}
@keyframes rotate1 {
from {
transform: translate(-50%, -50%) rotate(0deg);
}
to {
transform: translate(-50%, -50%) rotate(360deg);
}
}
@keyframes rotate2 {
from {
transform: translate(-50%, -50%) rotate(360deg);
}
to {
transform: translate(-50%, -50%) rotate(0deg);
}
}
/* 约束屏幕尺寸 */
@media screen and (max-width: 1024px) {
html {
font-size: 42px !important;
}
}
@media screen and (min-width: 1920px) {
html {
font-size: 80px !important;
}
}

@ -0,0 +1,303 @@
// css 初始化
* {
margin: 0;
padding: 0;
box-sizing: border-box;
// overflow: hidden;
}
li {
list-style: none;
}
// 声明字体
@font-face {
font-family: electronicFont;
src: url(../font/DS-DIGIT.TTF);
}
body {
background: url(../images//bg.jpg) no-repeat top center;
line-height: 1.15;
}
header {
position: relative;
height: 1.25rem;
background: url(../images/head_bg.png) no-repeat;
background-size: 100% 100%;
h1 {
font-size: .475rem;
color: rgba(255, 255, 255, 0.87);
text-align: center;
line-height: 1rem;
}
.show-time {
position: absolute;
top: 0;
right: .375rem;
line-height: .9375rem;
color: rgba(255, 255, 255, 0.7);
font-size: .25rem;
}
}
// 页面主体盒子
.mainbox {
display: flex;
min-width: 1024px;
max-height: 1920px;
margin: 0 auto;
padding: .125rem .125rem 0;
.column {
flex: 3;
}
.column:nth-child(2) {
flex: 5;
margin: 0 .125rem .1875rem;
// 图片旋转有时会超出屏幕最大位置导致滚动条自动上下移动
overflow: hidden;
}
.panel {
position: relative;
height: 3.875rem;
padding: 0 .1875rem .5rem;
margin-bottom: .1875rem;
border: 1px solid rgba(25, 186, 139, 0.17);
background: url(../images/line.png) rgba(255, 255, 255, 0.03);
&::before {
position: absolute;
top: 0;
left: 0;
width: 10px;
height: 10px;
border-left: 2px solid #02a6b5;
border-top: 2px solid #02a6b5;
content: '';
}
&::after {
position: absolute;
top: 0;
right: 0;
width: 10px;
height: 10px;
border-right: 2px solid #02a6b5;
border-top: 2px solid #02a6b5;
content: '';
}
.panel-footer {
position: absolute;
bottom: 0;
left: 0;
width: 100%;
&::before {
position: absolute;
bottom: 0;
left: 0;
width: 10px;
height: 10px;
border-left: 2px solid #02a6b5;
border-bottom: 2px solid #02a6b5;
content: '';
}
&::after {
position: absolute;
bottom: 0;
right: 0;
width: 10px;
height: 10px;
border-right: 2px solid #02a6b5;
border-bottom: 2px solid #02a6b5;
content: '';
}
}
h2 {
height: .6rem;
color: #fff;
line-height: .6rem;
text-align: center;
font-size: 0.25rem;
font-weight: 400;
a {
color: rgb(167, 167, 167);
text-decoration: none;
margin: 0 .125rem;
}
.a-active {
color: #fff;
}
}
.chart {
height: 3rem;
}
}
}
// no数字模块
.no {
background-color: rgba(101, 132, 226, 0.1);
padding: .1875rem;
.no-hd {
position: relative;
border: 1px solid rgba(25, 186, 139, 0.17);
&::before {
position: absolute;
top: 0;
left: 0;
width: .375rem;
height: .125rem;
border-top: 2px solid #02a6b5;
border-left: 2px solid #02a6b5;
content: '';
}
&::after {
position: absolute;
bottom: 0;
right: 0;
width: .375rem;
height: .125rem;
border-bottom: 2px solid #02a6b5;
border-right: 2px solid #02a6b5;
content: '';
}
ul {
display: flex;
li {
position: relative;
flex: 1;
line-height: 1rem;
font-size: .875rem;
color: #ffeb7b;
text-align: center;
font-family: electronicFont;
&:first-child::after {
content: '';
position: absolute;
top: 25%;
right: 0;
height: 50%;
width: 1px;
background-color: rgba(255, 255, 255, 0.3);
}
}
}
}
.no-bd {
ul {
display: flex;
li {
flex: 1;
text-align: center;
color: rgba(255, 255, 255, 0.7);
font-size: .225rem;
height: .5rem;
line-height: .5rem;
padding-top: .125rem;
}
}
}
}
.map {
position: relative;
height: 10.125rem;
.map1 {
width: 6.475rem;
height: 6.475rem;
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
background: url(../images/map.png);
background-size: 100% 100%;
opacity: 0.3;
}
.map2 {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
width: 8.0375rem;
height: 8.0375rem;
background: url(../images/lbx.png);
background-size: 100% 100%;
animation: rotate1 15s linear infinite;
opacity: .6;
}
.map3 {
position: absolute;
top: 50%;
left: 50%;
transform: translate(-50%, -50%);
width: 7.075rem;
height: 7.075rem;
background: url(../images/jt.png);
background-size: 100% 100%;
animation: rotate2 15s linear infinite;
}
.chart {
position: absolute;
top: 0;
left: 0;
height: 10.125rem;
width: 100%;
}
@keyframes rotate1 {
from {
transform: translate(-50%, -50%) rotate(0deg);
}
to {
transform: translate(-50%, -50%) rotate(360deg);
}
}
@keyframes rotate2 {
from {
transform: translate(-50%, -50%) rotate(360deg);
}
to {
transform: translate(-50%, -50%) rotate(0deg);
}
}
}
/* 约束屏幕尺寸 */
@media screen and (max-width: 1024px) {
html {
font-size: 42px !important;
}
}
@media screen and (min-width: 1920px) {
html {
font-size: 80px !important;
}
}

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(function flexible(window, document) {
var docEl = document.documentElement;
var dpr = window.devicePixelRatio || 1;
// adjust body font size
function setBodyFontSize() {
if (document.body) {
document.body.style.fontSize = 12 * dpr + "px";
} else {
document.addEventListener("DOMContentLoaded", setBodyFontSize);
}
}
setBodyFontSize();
// set 1rem = viewWidth / 10
function setRemUnit() {
var rem = docEl.clientWidth / 24;
docEl.style.fontSize = rem + "px";
}
setRemUnit();
// reset rem unit on page resize
window.addEventListener("resize", setRemUnit);
window.addEventListener("pageshow", function(e) {
if (e.persisted) {
setRemUnit();
}
});
// detect 0.5px supports
if (dpr >= 2) {
var fakeBody = document.createElement("body");
var testElement = document.createElement("div");
testElement.style.border = ".5px solid transparent";
fakeBody.appendChild(testElement);
docEl.appendChild(fakeBody);
if (testElement.offsetHeight === 1) {
docEl.classList.add("hairlines");
}
docEl.removeChild(fakeBody);
}
})(window, document);

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var t = null;
t = setTimeout(time, 1000); //开始运行
function time() {
clearTimeout(t); //清除定时器
dt = new Date();
var y = dt.getFullYear();
var mt = dt.getMonth() + 1;
var day = dt.getDate();
var h = dt.getHours(); //获取时
var m = dt.getMinutes(); //获取分
var s = dt.getSeconds(); //获取秒
document.querySelector(".show-time").innerHTML =
"当前时间:" +y +"年" +mt +"月" +day +"日-" +h +"时" +m +"分" +s +"秒";
t = setTimeout(time, 1000); //设定定时器,循环运行
}

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function sayHello() {
  alert("Hello World")
}

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// 立即执行函数,防止变量污染 (function() {})();
// 柱状图模块1
(function () {
// 1.实例化对象
var myChart = echarts.init(document.querySelector(".bar .chart"));
// 2.指定配置项和数据
var option = {
legend:{
data: []
},
color: ['#2f89cf'],
// 提示框组件
tooltip: {
trigger: 'axis',
axisPointer: { // 坐标轴指示器,坐标轴触发有效
type: 'shadow' // 默认为直线,可选为:'line' | 'shadow'
}
},
// 修改图表位置大小
grid: {
left: '0%',
top: '10px',
right: '0%',
bottom: '4%',
containLabel: true
},
// x轴相关配置
xAxis: {
type: 'category',
data: [],
show: true,
axisTick: {
alignWithLabel: true
},
// 修改刻度标签,相关样式
axisLabel: {
color: "rgba(255, 255, 255, 1)",
fontSize: 10,
show: true,
interval:0
},
// x轴样式不显示
axisLine: {
show: true
},
nameTextStyle: {
color: "rgba(255, 255, 255, 1)"
}
},
// y轴相关配置
yAxis: [{
type: 'value',
// 修改刻度标签,相关样式
axisLabel: {
color: "rgba(255,255,255,0.6)",
fontSize: 12
},
// y轴样式修改
axisLine: {
lineStyle: {
color: "rgba(255,255,255,0.6)",
width: 2
}
},
// y轴分割线的颜色
splitLine: {
lineStyle: {
color: "rgba(255,255,255,0.1)"
}
}
}],
// 系列列表配置
series: [{
name: '累计确诊',
type: 'bar',
barWidth: '35%',
// ajax传动态数据
data: [],
itemStyle: {
// 修改柱子圆角
barBorderRadius: 1
}
}]
};
$.ajax({
cache: false,
type:"GET",
url:"/province_top15_curconfirm",
data: null,
dataType : "json",
async: false,
error: function(request) {
alert("发送请求失败!");
},
success: function(result) {
// pub_date, privinces, curConfirms
var myCars=new Array();
for(i=0; i<result.privincestop15.length; ++i) {
option.legend.data.push(result.privincestop15[i])
option.xAxis.data.push(result.privincestop15[i])
option.series[0].data.push({name:result.privincestop15[i], value:result.curConfirmstop15[i]})
}
console.info(result)
}
});
// 3.把配置项给实例对象
myChart.setOption(option);
// 4.让图表随屏幕自适应
window.addEventListener('resize', function () {
myChart.resize();
})
})();
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// 折线图模块1
(function () {
var myChart = echarts.init(document.querySelector(".line .chart"));
var option = {
// 修改两条线的颜色
color: ['#00f2f1', '#ed3f35'],
tooltip: {
trigger: 'axis'
},
// 图例组件
legend: {
data: [],
// 当serise 有name值时 legend 不需要写data
// 修改图例组件文字颜色
textStyle: {
color: '#4c9bfd'
},
right: '10%',
},
grid: {
top: "20%",
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true,
show: true, // 显示边框
borderColor: '#012f4a' // 边框颜色
},
xAxis: {
data: [],
type: 'category',
boundaryGap: false, // 去除轴间距
// 去除刻度线
axisTick: {
show: false
},
axisLabel: {
color: "#4c9bfb" // x轴文本颜色
},
axisLine: {
show: false // 去除轴线
}
},
yAxis: {
type: 'value',
// 去除刻度线
axisTick: {
show: false
},
axisLabel: {
color: "#4c9bfb" // x轴文本颜色
},
axisLine: {
show: false // 去除轴线
},
splitLine: {
lineStyle: {
color: "#012f4a"
}
}
},
series: [
{
type: 'line',
smooth: true, // 圆滑的线
name: '现存确诊',
data: [],
}
]
};
$.ajax({
cache: false,
type:"GET",
url:"/home_daily_datas",
data: null,
dataType : "json",
async: false,
error: function(request) {
alert("发送请求失败!");
},
success: function(result) {
for(i=0; i<result.time.length; ++i){
option.legend.data.push(result.time[i])
option.xAxis.data.push(result.time[i])
option.series[0].data.push({name:result.time[i], value:result.curConfirm[i]})
}
console.info(result)
}
});
myChart.setOption(option);
// 4.让图表随屏幕自适应
window.addEventListener('resize', function () {
myChart.resize();
})
})();
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// 饼形图1
(function () {
var myChart = echarts.init(document.querySelector(".pie .chart"));
var option = {
title:"",
color: ["#1089E7", "#F57474", "#56D0E3", "#F8B448", "#8B78F6","#7D7D7D"],
tooltip: {
trigger: 'item',
formatter: '{a} <br/>{b}: {c} ({d}%)'
},
legend: {
// 垂直居中,默认水平居中
// orient: 'vertical',
data: [],
bottom: 0,
left: 10,
// 小图标的宽度和高度
itemWidth: 10,
itemHeight: 10,
// 修改图例组件的文字为 12px
textStyle: {
color: "rgba(255,255,255,.5)",
fontSize: "10"
}
},
series: [{
name: '省份',
type: 'pie',
// 设置饼形图在容器中的位置
center: ["50%", "42%"],
// 修改饼形图大小,第一个为内圆半径,第二个为外圆半径
radius: ['40%', '60%'],
avoidLabelOverlap: false,
// 图形上的文字
label: {
show: false,
position: 'center'
},
// 链接文字和图形的线
labelLine: {
show: false
},
data: []
}]
};
$.ajax({
cache: false,
type:"GET",
url:"/province_top5_curconfirm",
data: null,
dataType : "json",
async: false,
error: function(request) {
alert("发送请求失败!");
},
success: function(result) {
// pub_date, privinces, curConfirms
option.title.subtext = "数据更新时间: "+result.pub_date
for(i=0; i<result.privinces.length; ++i) {
option.legend.data.push(result.privinces[i])
option.series[0].data.push({name:result.privinces[i], value:result.curConfirms[i]})
}
console.info(result)
}
});
myChart.setOption(option);
window.addEventListener('resize', function () {
myChart.resize();
})
})();
(function () {
var myChart = echarts.init(document.querySelector(".map .chart"));
var option = {
backgroundColor: 'rgba(128, 128, 128, 0)',
tooltip: {
trigger: 'item',
formatter: "省份:{b}<br/>确诊:{c}"
},
textStyle: {color: '#FFFFFF'},
title:{
left: 'center',
text: '中国疫情地图(现有确诊人数)',
subtext: '数据更新时间: ',
textStyle:{
color:"rgba(255, 255, 255)",
fontSize:20,
align:"center"
}
},
visualMap: {
left: 'left',
top: 'bottom',
splitNumber: 7,
pieces: [
{value: 0},
{min: 0, max: 9},
{min: 10, max: 49},
{min: 50, max: 99},
{min: 100, max: 999},
{min: 1000, max: 9999},
{min: 10000}
],
textStyle: {
color: "#fff"
},
inRange: {
color: ["#FFFFFF", "#FFE5DB", "#FFC4B3", "#FF9985", "#F57567", "#E64546", "#B80909"]
},
outOfRange: {
color: "#FFFFFF"
},
show:true
},
geo:{
map:'china',
roam:false,//不开启缩放和平移
zoom:1.00,//视角缩放比例
label: {
normal: {
show: true,
fontSize:'11',
color: '#6C6C6C'
}
},
itemStyle: {
normal:{
borderColor: 'rgba(0, 0, 0, 0.2)'
},
emphasis:{
areaColor: '#FFFF00',//鼠标悬停区域颜色
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowBlur: 20,
borderWidth: 0,
shadowColor: 'rgba(255, 255, 255, 0.5)'
}
}
},
series:[{
name:'现有确诊',
type:'map',
map:'china',
geoIndex: 0,
roam: true,
label: {
normal: {
show: true,
textStyle:{
color: 'rgb(0, 0, 0)',
fontSize: 14
}
}
},
data:[]
}]
};
$.ajax({
cache: false,
url:'/get_province_currentConfirmedCount',
type:"GET",
dataType:'json',
async:false,
error: function(request) {
alert("发送请求失败!");
},
success: function(result) {
console.info(result)
for(i=0,max=result.provinceShortName.length; i<max; ++i) {
option.series[0].data.push({name:result.provinceShortName[i], value:result.currentConfirmedCount[i]})
}
option.title.subtext = '数据更新时间: ' + result.pub_date
}
});
myChart.setOption(option);
window.addEventListener('resize', function () {
myChart.resize();
})
})();

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@ -0,0 +1,181 @@
/*!
Copyright 2008-2020 SpryMedia Ltd.
This source file is free software, available under the following license:
MIT license - http://datatables.net/license
This source file is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
For details please refer to: http://www.datatables.net
DataTables 1.10.21
©2008-2020 SpryMedia Ltd - datatables.net/license
*/
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{oFeatures:{bAutoWidth:null,bDeferRender:null,bFilter:null,bInfo:null,bLengthChange:null,bPaginate:null,bProcessing:null,bServerSide:null,bSort:null,bSortMulti:null,bSortClasses:null,bStateSave:null},oScroll:{bCollapse:null,iBarWidth:0,sX:null,sXInner:null,sY:null},oLanguage:{fnInfoCallback:null},oBrowser:{bScrollOversize:!1,bScrollbarLeft:!1,bBounding:!1,barWidth:0},ajax:null,aanFeatures:[],aoData:[],aiDisplay:[],aiDisplayMaster:[],aIds:{},aoColumns:[],aoHeader:[],aoFooter:[],oPreviousSearch:{},
aoPreSearchCols:[],aaSorting:null,aaSortingFixed:[],asStripeClasses:null,asDestroyStripes:[],sDestroyWidth:0,aoRowCallback:[],aoHeaderCallback:[],aoFooterCallback:[],aoDrawCallback:[],aoRowCreatedCallback:[],aoPreDrawCallback:[],aoInitComplete:[],aoStateSaveParams:[],aoStateLoadParams:[],aoStateLoaded:[],sTableId:"",nTable:null,nTHead:null,nTFoot:null,nTBody:null,nTableWrapper:null,bDeferLoading:!1,bInitialised:!1,aoOpenRows:[],sDom:null,searchDelay:null,sPaginationType:"two_button",iStateDuration:0,
aoStateSave:[],aoStateLoad:[],oSavedState:null,oLoadedState:null,sAjaxSource:null,sAjaxDataProp:null,bAjaxDataGet:!0,jqXHR:null,json:n,oAjaxData:n,fnServerData:null,aoServerParams:[],sServerMethod:null,fnFormatNumber:null,aLengthMenu:null,iDraw:0,bDrawing:!1,iDrawError:-1,_iDisplayLength:10,_iDisplayStart:0,_iRecordsTotal:0,_iRecordsDisplay:0,oClasses:{},bFiltered:!1,bSorted:!1,bSortCellsTop:null,oInit:null,aoDestroyCallback:[],fnRecordsTotal:function(){return"ssp"==I(this)?1*this._iRecordsTotal:
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classes:{},builder:"-source-",errMode:"alert",feature:[],search:[],selector:{cell:[],column:[],row:[]},internal:{},legacy:{ajax:null},pager:{},renderer:{pageButton:{},header:{}},order:{},type:{detect:[],search:{},order:{}},_unique:0,fnVersionCheck:q.fnVersionCheck,iApiIndex:0,oJUIClasses:{},sVersion:q.version};f.extend(C,{afnFiltering:C.search,aTypes:C.type.detect,ofnSearch:C.type.search,oSort:C.type.order,afnSortData:C.order,aoFeatures:C.feature,oApi:C.internal,oStdClasses:C.classes,oPagination:C.pager});
f.extend(q.ext.classes,{sTable:"dataTable",sNoFooter:"no-footer",sPageButton:"paginate_button",sPageButtonActive:"current",sPageButtonDisabled:"disabled",sStripeOdd:"odd",sStripeEven:"even",sRowEmpty:"dataTables_empty",sWrapper:"dataTables_wrapper",sFilter:"dataTables_filter",sInfo:"dataTables_info",sPaging:"dataTables_paginate paging_",sLength:"dataTables_length",sProcessing:"dataTables_processing",sSortAsc:"sorting_asc",sSortDesc:"sorting_desc",sSortable:"sorting",sSortableAsc:"sorting_asc_disabled",
sSortableDesc:"sorting_desc_disabled",sSortableNone:"sorting_disabled",sSortColumn:"sorting_",sFilterInput:"",sLengthSelect:"",sScrollWrapper:"dataTables_scroll",sScrollHead:"dataTables_scrollHead",sScrollHeadInner:"dataTables_scrollHeadInner",sScrollBody:"dataTables_scrollBody",sScrollFoot:"dataTables_scrollFoot",sScrollFootInner:"dataTables_scrollFootInner",sHeaderTH:"",sFooterTH:"",sSortJUIAsc:"",sSortJUIDesc:"",sSortJUI:"",sSortJUIAscAllowed:"",sSortJUIDescAllowed:"",sSortJUIWrapper:"",sSortIcon:"",
sJUIHeader:"",sJUIFooter:""});var Ob=q.ext.pager;f.extend(Ob,{simple:function(a,b){return["previous","next"]},full:function(a,b){return["first","previous","next","last"]},numbers:function(a,b){return[ja(a,b)]},simple_numbers:function(a,b){return["previous",ja(a,b),"next"]},full_numbers:function(a,b){return["first","previous",ja(a,b),"next","last"]},first_last_numbers:function(a,b){return["first",ja(a,b),"last"]},_numbers:ja,numbers_length:7});f.extend(!0,q.ext.renderer,{pageButton:{_:function(a,b,
c,d,e,h){var g=a.oClasses,k=a.oLanguage.oPaginate,l=a.oLanguage.oAria.paginate||{},m,p,q=0,t=function(b,d){var n,r=g.sPageButtonDisabled,u=function(b){Wa(a,b.data.action,!0)};var w=0;for(n=d.length;w<n;w++){var v=d[w];if(f.isArray(v)){var x=f("<"+(v.DT_el||"div")+"/>").appendTo(b);t(x,v)}else{m=null;p=v;x=a.iTabIndex;switch(v){case "ellipsis":b.append('<span class="ellipsis">&#x2026;</span>');break;case "first":m=k.sFirst;0===e&&(x=-1,p+=" "+r);break;case "previous":m=k.sPrevious;0===e&&(x=-1,p+=
" "+r);break;case "next":m=k.sNext;if(0===h||e===h-1)x=-1,p+=" "+r;break;case "last":m=k.sLast;e===h-1&&(x=-1,p+=" "+r);break;default:m=v+1,p=e===v?g.sPageButtonActive:""}null!==m&&(x=f("<a>",{"class":g.sPageButton+" "+p,"aria-controls":a.sTableId,"aria-label":l[v],"data-dt-idx":q,tabindex:x,id:0===c&&"string"===typeof v?a.sTableId+"_"+v:null}).html(m).appendTo(b),Za(x,{action:v},u),q++)}}};try{var x=f(b).find(w.activeElement).data("dt-idx")}catch(lc){}t(f(b).empty(),d);x!==n&&f(b).find("[data-dt-idx="+
x+"]").trigger("focus")}}});f.extend(q.ext.type.detect,[function(a,b){b=b.oLanguage.sDecimal;return cb(a,b)?"num"+b:null},function(a,b){if(a&&!(a instanceof Date)&&!cc.test(a))return null;b=Date.parse(a);return null!==b&&!isNaN(b)||P(a)?"date":null},function(a,b){b=b.oLanguage.sDecimal;return cb(a,b,!0)?"num-fmt"+b:null},function(a,b){b=b.oLanguage.sDecimal;return Tb(a,b)?"html-num"+b:null},function(a,b){b=b.oLanguage.sDecimal;return Tb(a,b,!0)?"html-num-fmt"+b:null},function(a,b){return P(a)||"string"===
typeof a&&-1!==a.indexOf("<")?"html":null}]);f.extend(q.ext.type.search,{html:function(a){return P(a)?a:"string"===typeof a?a.replace(Qb," ").replace(Da,""):""},string:function(a){return P(a)?a:"string"===typeof a?a.replace(Qb," "):a}});var Ca=function(a,b,c,d){if(0!==a&&(!a||"-"===a))return-Infinity;b&&(a=Sb(a,b));a.replace&&(c&&(a=a.replace(c,"")),d&&(a=a.replace(d,"")));return 1*a};f.extend(C.type.order,{"date-pre":function(a){a=Date.parse(a);return isNaN(a)?-Infinity:a},"html-pre":function(a){return P(a)?
"":a.replace?a.replace(/<.*?>/g,"").toLowerCase():a+""},"string-pre":function(a){return P(a)?"":"string"===typeof a?a.toLowerCase():a.toString?a.toString():""},"string-asc":function(a,b){return a<b?-1:a>b?1:0},"string-desc":function(a,b){return a<b?1:a>b?-1:0}});Ga("");f.extend(!0,q.ext.renderer,{header:{_:function(a,b,c,d){f(a.nTable).on("order.dt.DT",function(e,f,g,k){a===f&&(e=c.idx,b.removeClass(c.sSortingClass+" "+d.sSortAsc+" "+d.sSortDesc).addClass("asc"==k[e]?d.sSortAsc:"desc"==k[e]?d.sSortDesc:
c.sSortingClass))})},jqueryui:function(a,b,c,d){f("<div/>").addClass(d.sSortJUIWrapper).append(b.contents()).append(f("<span/>").addClass(d.sSortIcon+" "+c.sSortingClassJUI)).appendTo(b);f(a.nTable).on("order.dt.DT",function(e,f,g,k){a===f&&(e=c.idx,b.removeClass(d.sSortAsc+" "+d.sSortDesc).addClass("asc"==k[e]?d.sSortAsc:"desc"==k[e]?d.sSortDesc:c.sSortingClass),b.find("span."+d.sSortIcon).removeClass(d.sSortJUIAsc+" "+d.sSortJUIDesc+" "+d.sSortJUI+" "+d.sSortJUIAscAllowed+" "+d.sSortJUIDescAllowed).addClass("asc"==
k[e]?d.sSortJUIAsc:"desc"==k[e]?d.sSortJUIDesc:c.sSortingClassJUI))})}}});var hb=function(a){return"string"===typeof a?a.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,"&quot;"):a};q.render={number:function(a,b,c,d,e){return{display:function(f){if("number"!==typeof f&&"string"!==typeof f)return f;var g=0>f?"-":"",h=parseFloat(f);if(isNaN(h))return hb(f);h=h.toFixed(c);f=Math.abs(h);h=parseInt(f,10);f=c?b+(f-h).toFixed(c).substring(2):"";return g+(d||"")+h.toString().replace(/\B(?=(\d{3})+(?!\d))/g,
a)+f+(e||"")}}},text:function(){return{display:hb,filter:hb}}};f.extend(q.ext.internal,{_fnExternApiFunc:Pb,_fnBuildAjax:ua,_fnAjaxUpdate:pb,_fnAjaxParameters:yb,_fnAjaxUpdateDraw:zb,_fnAjaxDataSrc:va,_fnAddColumn:Ha,_fnColumnOptions:la,_fnAdjustColumnSizing:Z,_fnVisibleToColumnIndex:aa,_fnColumnIndexToVisible:ba,_fnVisbleColumns:V,_fnGetColumns:na,_fnColumnTypes:Ja,_fnApplyColumnDefs:mb,_fnHungarianMap:H,_fnCamelToHungarian:L,_fnLanguageCompat:Fa,_fnBrowserDetect:kb,_fnAddData:R,_fnAddTr:oa,_fnNodeToDataIndex:function(a,
b){return b._DT_RowIndex!==n?b._DT_RowIndex:null},_fnNodeToColumnIndex:function(a,b,c){return f.inArray(c,a.aoData[b].anCells)},_fnGetCellData:F,_fnSetCellData:nb,_fnSplitObjNotation:Ma,_fnGetObjectDataFn:T,_fnSetObjectDataFn:Q,_fnGetDataMaster:Na,_fnClearTable:pa,_fnDeleteIndex:qa,_fnInvalidate:da,_fnGetRowElements:La,_fnCreateTr:Ka,_fnBuildHead:ob,_fnDrawHead:fa,_fnDraw:S,_fnReDraw:U,_fnAddOptionsHtml:rb,_fnDetectHeader:ea,_fnGetUniqueThs:ta,_fnFeatureHtmlFilter:tb,_fnFilterComplete:ha,_fnFilterCustom:Cb,
_fnFilterColumn:Bb,_fnFilter:Ab,_fnFilterCreateSearch:Sa,_fnEscapeRegex:Ta,_fnFilterData:Db,_fnFeatureHtmlInfo:wb,_fnUpdateInfo:Gb,_fnInfoMacros:Hb,_fnInitialise:ia,_fnInitComplete:wa,_fnLengthChange:Ua,_fnFeatureHtmlLength:sb,_fnFeatureHtmlPaginate:xb,_fnPageChange:Wa,_fnFeatureHtmlProcessing:ub,_fnProcessingDisplay:J,_fnFeatureHtmlTable:vb,_fnScrollDraw:ma,_fnApplyToChildren:N,_fnCalculateColumnWidths:Ia,_fnThrottle:Ra,_fnConvertToWidth:Ib,_fnGetWidestNode:Jb,_fnGetMaxLenString:Kb,_fnStringToCss:B,
_fnSortFlatten:X,_fnSort:qb,_fnSortAria:Mb,_fnSortListener:Ya,_fnSortAttachListener:Pa,_fnSortingClasses:za,_fnSortData:Lb,_fnSaveState:Aa,_fnLoadState:Nb,_fnSettingsFromNode:Ba,_fnLog:O,_fnMap:M,_fnBindAction:Za,_fnCallbackReg:D,_fnCallbackFire:A,_fnLengthOverflow:Va,_fnRenderer:Qa,_fnDataSource:I,_fnRowAttributes:Oa,_fnExtend:$a,_fnCalculateEnd:function(){}});f.fn.dataTable=q;q.$=f;f.fn.dataTableSettings=q.settings;f.fn.dataTableExt=q.ext;f.fn.DataTable=function(a){return f(this).dataTable(a).api()};
f.each(q,function(a,b){f.fn.DataTable[a]=b});return f.fn.dataTable});

@ -0,0 +1,38 @@
// (function() {
// $.ajax({
// url: "/get_home_realtime_datas",
// type: "GET",
// dataType: "json",
// data: {
// 'pid': data.link,
// 'reflevel':data.level,
// 'id':data.uid
// },
// success:function(data){
// //alert(data.err); eval(data.err)//分解
// var html="<table>";
// for(var i=0;i<data.curConfirm.length;i++)
// {
// html+="<ul>
// </ul>";
// }
// html+="</table>";
// }
// $("#st").html(html);
// },
// error:function(){
// }
// });
// });
// // <li>data.curConfirm</li>
// // <li>data.asymptomatic</li>
// // <li>data.unconfirmed</li>
// // <li>data.overseasInput</li>
// // <li>data.icu</li>
// // <li>data.cured</li>
// // <li>data.died</li>
// // <li>data.overseasInput</li>

@ -0,0 +1,130 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>数据可视化</title>
<link rel="stylesheet" href="../static/css/index.css" />
<script type = "text/javascript" src="{{ url_for('static', filename='hello.js') }}"></script>
<script type = "text/javascript" src="{{ url_for('static', filename='echarts.js') }}"></script>
<script type = "text/javascript" src="{{ url_for('static', filename='jquery-3.5.1.min.js')}}"></script>
<script type = "text/javascript" src="{{ url_for('static', filename='china.js') }}"></script>
<!-- <script type = "text/javascript" src="{{ url_for('static', filename='dataTables.min.js') }}"></script> -->
<!-- <link rel="stylesheet" type="text/css" href="../static/css/jquery.dataTables.min.css"/> -->
</head>
<body>
<!-- 头部 -->
<header>
<h1>新型冠状病毒肺炎疫情实时动态—COVID-19 Global Pandemic Real-time Report</h1>
<div class="show-time"></div>
<script src="../static/getnowtime.js"></script>
</header>
<!-- 页面主体 -->
<section class="mainbox">
<!-- 左侧盒子 -->
<div class="column">
<div class="panel bar">
<h2>国内各省份累计确诊病例数柱状图Top15</h2>
<!-- 图表放置盒子 -->
<div class="chart"></div>
<!-- 伪元素绘制盒子下边角 -->
<div class="panel-footer"></div>
</div>
<div class="panel line">
<h2>国内现存确诊人数折线图
<a class="a-active" href="javascript:;">2020</a>
</h2>
<div class="chart"></div>
<div class="panel-footer"></div>
</div>
<div class="panel pie">
<h2>中国省份现存确诊人数Top5</h2>
<div class="chart"></div>
<div class="panel-footer"></div>
</div>
</div>
<!-- 中间盒子 -->
<div class="column">
<!-- 头部 no模块 -->
<div class="no">
<div class="no-bd">
<ul>
<li> </li>
<li>现存确诊</li>
<!-- <li>境外输入</li>
<li>现存无症状</li> -->
<li>累计确诊</li>
<li>累计死亡</li>
<li>累计治愈</li>
</ul>
<ul></ul>
</div>
<div class="no-hd">
<ul>
<li>全球</li>
<li>7686083</li>
<li>21708258</li>
<li>778301</li>
<li>13243674</li>
<!-- <li>12</li>
<li>12</li> -->
</ul>
</div>
<div class="no-bd">
<ul>
<li> </li>
<li>较昨日-33536</li>
<!-- <li>境外输入</li>
<li>现存无症状</li> -->
<li>较昨日+81221</li>
<li>较昨日+1509</li>
<li>较昨日+113248</li>
</ul>
<ul><li></li></ul>
</div>
<div class="no-hd">
<ul>
<li>国内</li>
<li>1495</li>
<li>2300</li>
<li>351</li>
<li>89905</li>
<li>4710</li>
<li>83700</li>
</ul>
</div>
<div class="no-bd">
<ul>
<li> </li>
<li>较昨日+3</li>
<li>较昨日+22</li>
<li>较昨日+32</li>
<li>较昨日+144</li>
<li>较昨日无变化</li>
<li>较昨日+141</li>
</ul>
</div>
</div>
<!-- map模块 -->
<div class="map">
<div class="map1"></div>
<div class="map2"></div>
<div class="map3"></div>
<div class="chart"></div>
</div>
</div>
</section>
<script src="../static/settable.js"></script>
<script src="../static/flexible.js"></script>
<script src="../static/echarts.min.js"></script>
<!-- 引入china.js 完成地图模块 -->
<script src="../static/china.js"></script>
<script src="../static/index.js"></script>
</body>
</html>

@ -0,0 +1,555 @@
import time
import requests
from bs4 import BeautifulSoup
import re
import json
import datetime
import pymysql
def Inside(ds):
class Province:
def __init__(self):
self.provinceName = ''
self.provinceShortName = ''
self.currentConfirmedCount = 0 #现有确诊病例数
self.confirmedCount = 0 #累计确诊
self.suspectedCount = 0 #疑似病例
self.curedCount = 0 #累计治愈
self.deadCount = 0#累计死亡
self.pub_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')#时间
self.cities = []
def __str__(self):
return 'provinceName:%s provinceShortName:%s currentConfirmedCount:%d \
confirmedCount:%d suspectedCount:%d curedCount:%d deadCount :%d '%(self.provinceName,self.provinceShortName,self.currentConfirmedCount,self.confirmedCount,self.suspectedCount,self.curedCount,self.deadCount)
def get_info_tuple(self):
return ((self.provinceName,self.provinceShortName,self.currentConfirmedCount,self.confirmedCount, self.suspectedCount, self.curedCount,self.deadCount,self.pub_time))
class City:
def __init__(self):
self.cityName = ''
self.currentConfirmedCount = 0
self.confirmedCount = 0
self.suspectedCount = 0
self.curedCount = 0
self.deadCount = 0
self.locationId =0
self.province = ''
self.pub_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')#时间
def __str__(self):
return 'cityName:%s, currentConfirmedCount:%d, confirmedCount:%d, suspectedCount:%d,\
curedCount:%d, deadCount:%d, locationId:%d, pub_time:%s ,province:%s '%(self.cityName, self.currentConfirmedCount, self.confirmedCount, self.suspectedCount, self.curedCount, self.deadCount, self.locationId,self.pub_time,self.province)
def get_info_tuple(self):
return ((self.cityName, self.currentConfirmedCount, self.confirmedCount, self.suspectedCount, self.curedCount, self.deadCount, self.locationId,self.province,self.pub_time ))
class MyDB:
def __init__(self,host,user,passwd,db):
self.conn = pymysql.connect(host,user,passwd,db)
self.cursor = self.conn.cursor()
def get_province_list_tuple(self,all_province):
info_tuple = []
for item in all_province:
info_tuple.append(item.get_info_tuple())
return info_tuple
def get_city_list_tuple(self,all_city):
info_tuple = []
for item in all_city:
info_tuple.append(item.get_info_tuple())
return info_tuple
#保存省份数据
def save_province_datas(self,all_province):
date1 = datetime.datetime.now().strftime('%Y-%m-%d')
sql1 = 'delete from province_daily_datas where pub_time like "%s"'%(date1 + '%')
print(sql1)
try:
self.cursor.execute(sql1)
self.conn.commit()
print("之前省份删除成功")
except Exception as a:
print(a)
sql = 'insert into province_daily_datas(provinceName,provinceShortName,currentConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,pub_time) \
values(%s,%s,%s,%s,%s,%s,%s,%s)'
res = self.get_province_list_tuple(all_province)
print("+++++++ save_province_datas, datas len:%d"%(len(res)))
try:
self.cursor.executemany(sql,res)
self.conn.commit()
except Exception as e:
print(e)
print("???")
print("++++++++++++ save_province_datas is over")
#保存城市数据
def save_city_datas(self,all_city):
date2 = datetime.datetime.now().strftime('%Y-%m-%d')
sql2 = 'delete from city_daily_datas where pub_time like "%s"'%(date2 + '%')
try:
self.cursor.execute(sql2)
print((date2+"%"))
self.conn.commit()
print("之前城市删除成功")
except Exception as a:
print(a)
sql = 'insert into city_daily_datas(cityName,currentConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,locationId,province,pub_time) \
values(%s,%s,%s,%s,%s,%s,%s,%s,%s)'
res = self.get_city_list_tuple(all_city)
print("+++++++ save_city_daily_datas, datas len:%d"%(len(res)))
try:
self.cursor.executemany(sql,res)
self.conn.commit()
except Exception as e:
print(e)
print("???")
print("++++++++++++ save_city_daily_datas is over")
def __del__(self):
if self.conn is not None:
self.conn.close()
class DataService:
def __init__(self,ds):
self.url = 'https://ncov.dxy.cn/ncovh5/view/pneumonia'
self.db = MyDB(host = ds[0],user = ds[1],passwd = ds[2],db = ds[3])
#抓取网页
def fetch_html_page(self):
res = requests.get(self.url)
res = res.content.decode('utf-8')
return res
#解析网页
def parse_html_page(self,html):
soup = BeautifulSoup(html,'html.parser')
tag = soup.find('script',attrs = {'id':'getAreaStat'})
tagstr = tag.string
self.results = re.findall('\{"provinceName":.*?"cities":.*?\]\}',tagstr)
#提取各个省份及其城市数据
def fetch_province_datas(self):
all_province = []
all_city = []
province_name = ''
for item in self.results:
province = Province()
obj = json.loads(item)
province.provinceName = obj["provinceName"]
#提取省份名放入city()
province_name = province.provinceName
province.provinceShortName = obj["provinceShortName"]
province.currentConfirmedCount = obj["currentConfirmedCount"]
province.confirmedCount = obj["confirmedCount"]
province.suspectedCount = obj["suspectedCount"]
province.curedCount = obj["curedCount"]
province.deadCount = obj["deadCount"]
#提取城市数据
cities = obj["cities"]
for cityItem in cities:
# print(cityItem)
city = City()
city.province = province_name
city.cityName = cityItem["cityName"]
city.currentConfirmedCount = cityItem["currentConfirmedCount"]
city.confirmedCount = cityItem["confirmedCount"]
city.suspectedCount = cityItem["suspectedCount"]
city.curedCount = cityItem["curedCount"]
city.deadCount = cityItem["deadCount"]
city.locationId = cityItem["locationId"]
all_city.append(city)
province.cities.append(city)
all_province.append(province)
return all_province,all_city
#业务函数
def process_data(self):
html = self.fetch_html_page()
self.parse_html_page(html)
all_province,all_city = self.fetch_province_datas()
# # 保存省份数据
self.db.save_province_datas(all_province)
# 保存城市数据
self.db.save_city_datas(all_city)
# 创建Dataservice对象
ds = DataService(ds)
ds.process_data()
def Outside(ds):
class Country:
def __init__(self):
self.countryName = ''
self.currentConfirmedCount = 0 # 现有确诊病例数
self.confirmedCount = 0 # 累计确诊
self.confirmedCountRank = 0 # 累计确诊排名
self.curedCount = 0 # 累计治愈
self.deadCount = 0 # 累计死亡
self.deadCountRank = 0 # 累计死亡排名
self.deadRate = 0.0 # 死亡率
self.deadRateRank = 0 # 死亡率排名
self.updatedTime = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
def get_info_tuple(self):
return (self.countryName, self.currentConfirmedCount, self.confirmedCount, self.confirmedCountRank, self.curedCount, self.deadCount, self.deadCountRank, self.deadRate, self.deadRateRank,self.updatedTime)
def __str__(self):
return 'countryName:%s,currentConfirmedCount:%d,confirmedCount:%d,\
confirmedCountRankt:%d,curedCount:%d,deadCount:%d,deadCountRank:%d,deadRate:%d,deadRateRank:%d,updatedTime:%s' % (self.countryName, self.currentConfirmedCount, self.confirmedCount, self.confirmedCountRank, self.curedCount, self.deadCount, self.deadCountRank, self.deadRate, self.deadRateRank,self.updatedTime)
class MyDB:
def __init__(self, host, user, passwd, db):
self.conn = pymysql.connect(host, user, passwd, db)
self.cursor = self.conn.cursor()
def get_country_list_tuple(self, all_country):
info_tuple = []
for item in all_country:
info_tuple.append(item.get_info_tuple())
return info_tuple
# 保存数据
def save_country_datas(self, all_country):
date=datetime.datetime.now().strftime('%Y-%m-%d')
sql='delete from country_daily_datas where pub_time like "%s"'%(date+"%")
try:
self.cursor.execute(sql)
self.conn.commit()
except Exception as e:
print(e)
sql = 'insert into country_daily_datas(countryName,currentConfirmedCount,\
confirmedCount,confirmedCountRank,curedCount,deadCount,deadCountRank,deadRate,deadRateRank,pub_time) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'
res = self.get_country_list_tuple(all_country)
print('+++ save_country_datas, data len: %d' % len(res))
try:
self.cursor.executemany(sql, res)
self.conn.commit()
except Exception as e:
print(e)
print('+++ save_country_datas is over.')
def show_country_datas(self):
self.cursor.execute('select * from country_daily_datas')
def __del__(self):
if self.conn is not None:
self.conn.close()
def forign_data_search(ds):
db = MyDB(host = ds[0],user = ds[1],passwd = ds[2],db = ds[3])
res = requests.get('https://ncov.dxy.cn/ncovh5/view/pneumonia')# 爬取页面
res = res.content.decode('utf-8') # 重新解码
soup = BeautifulSoup(res, 'html.parser')# 构建soup对象
tag = soup.find('script', attrs={'id':'getListByCountryTypeService2true'}) # Tag# 使用soup对象查找实时播报新闻标签
tagStr = tag.string# 获取内容
results = re.findall('\{"id".*?"showRank".*?\}', tagStr) # length: 34, [str, str, ....]# 使用正则表达式匹配
all_country = []
for item in results:
country=Country()
obj = json.loads(item) # obj -> dict
country.countryName = obj['provinceName']
country.currentConfirmedCount = int(obj['currentConfirmedCount'])
country.confirmedCount = int(obj['confirmedCount'])
country.curedCount = int(obj['curedCount'])
country.deadCount = int(obj['deadCount'])
country.deadRate = float(obj['deadRate'])
country.updatedTime = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
try:
country.deadCountRank = int(obj['deadCountRank'])
country.deadRateRank = int(obj['deadRateRank'])
country.confirmedCountRank = int(obj['confirmedCountRank'])
except KeyError:
country.deadCountRank = 0
country.deadRateRank = 0
country.confirmedCountRank = 0
finally:
all_country.append(country)
db.save_country_datas(all_country)
forign_data_search(ds)
def OutsideSummary(dsin):
class OutsideSummary:
def __init__(self):
self.currentConfirmedCount = 0
self.confirmedCount = 0
self.suspectedCount = 0
self.curedCount = 0
self.deadCount = 0
self.suspectedIncr = 0
self.currentConfirmedIncr = 0
self.confirmedIncr = 0
self.curedIncr = 0
self.deadIncr = 0
self.updatedTime = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
def get_info_tuple(self):
return (self.currentConfirmedCount, self.confirmedCount, self.suspectedCount, self.curedCount,
self.deadCount, self.suspectedIncr, self.currentConfirmedIncr, self.confirmedIncr, self.curedIncr,
self.deadIncr, self.updatedTime)
def __str__(self):
return 'currentConfirmedCount:%s, confirmedCount:%s, suspectedCount:%s, curedCount:%s, deadCount:%s, suspectedIncr:%s, currentConfirmedIncr:%s, confirmedIncr:%s, curedIncr:%s, deadIncr:%s, updatedTime:%s' % (
self.currentConfirmedCount, self.confirmedCount, self.suspectedCount, self.curedCount, self.deadCount,
self.suspectedIncr, self.currentConfirmedIncr, self.confirmedIncr, self.curedIncr, self.deadIncr, self.updatedTime)
# 数据库实体类
#数据库实体类
import pymysql
class MyDB:
def __init__(self, host, user, passwd, db):
self.conn = pymysql.connect(host, user, passwd, db)
self.cursor = self.conn.cursor()
def get_outsideSummary_list_tuple(self, outsideSummary):
info_tuple = []
info_tuple.append(outsideSummary.get_info_tuple())
return info_tuple
# 保存数据
def save_outsideSummary_datas(self, outsideSummary):
date=datetime.datetime.now().strftime('%Y-%m-%d')
print('+++ [MyDB] delete from outsideSummary_realtime_datas')
self.cursor.execute('delete from outsidesummary_realtime_datas where updatedTime like "%s"'%(date+'%'))
self.conn.commit()
sql = 'insert into outsidesummary_realtime_datas(currentConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,suspectedIncr,currentConfirmedIncr,confirmedIncr,curedIncr,deadIncr,updatedTime) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'
res = self.get_outsideSummary_list_tuple(outsideSummary)
print('+++ save_outsideSummary_datas, data len: %d' % len(res))
try:
self.cursor.executemany(sql, res)
self.conn.commit()
except Exception as e:
print(e)
print('+++ save_outsideSummary_datas is over.')
def __del__(self):
if self.conn is not None:
self.conn.close()
# 业务逻辑类
#业务逻辑类
import datetime
import requests
import re
from bs4 import BeautifulSoup
import json
class DataService:
def __init__(self,ds):
self.db = MyDB(host = ds[0],user = ds[1],passwd = ds[2],db = ds[3])
# 爬取页面
res = requests.get('https://ncov.dxy.cn/ncovh5/view/pneumonia')
# 重新解码
res = res.content.decode('utf-8')
# 构建soup对象
soup = BeautifulSoup(res, 'html.parser')
# 使用soup对象查找国外疫情数据标签
tag = soup.find('script', attrs={'id': 'getStatisticsService'})
# 转成字符串
tagstr = tag.string
# 使用正则表达式查找所有内容
result = re.findall('\{"currentConfirmedCount".*?"deadIncr".*?\}', tagstr)
# 获取国外疫情数据
obj = json.loads(result[0])
#print(obj)
def fetch_outside_summary(obj):
outsideSummary = OutsideSummary()
outsideSummary.currentConfirmedCount = int(obj['currentConfirmedCount'])
outsideSummary.confirmedCount = int(obj['confirmedCount'])
outsideSummary.suspectedCount = int(obj['suspectedCount'])
outsideSummary.curedCount = int(obj['curedCount'])
outsideSummary.deadCount = int(obj['deadCount'])
outsideSummary.suspectedIncr = int(obj['suspectedIncr'])
outsideSummary.currentConfirmedIncr = int(obj['currentConfirmedIncr'])
outsideSummary.confirmedIncr = int(obj['confirmedIncr'])
outsideSummary.curedIncr = int(obj['curedIncr'])
outsideSummary.deadIncr = int(obj['deadIncr'])
outsideSummary.updatedTime = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
return outsideSummary
# 创建Dataservice对象
ds = DataService(dsin)
outsideSummary=fetch_outside_summary(obj)
ds.db.save_outsideSummary_datas(outsideSummary)
def InsideSummary(ds):
class class_InsideSummary:
def __init__(self):
self.curConfirm = 0 # 现有确诊
self.curConfirmRelative = 0 # 较昨日新增确诊
self.asymptomatic = 0 # 无症状感染
self.asymptomaticRelative = 0 # 较昨日新增无症状感染
self.unconfirmed = 0 # 现有疑似
self.unconfirmedRelative = 0 # 较昨日疑似新增
self.icu = 0 # 现有重症
self.icuRelative = 0 # 较昨日重症病例新增
self.confirmed = 0 # 累计确诊
self.confirmedRelative = 0 # 较昨日累计确诊新增
self.overseasInput = 0 # 累计境外输入
self.overseasInputRelative = 0 # 较昨日累计境外输入新 增
self.cured = 0 # 累计治愈
self.curedRelative = 0 # 较昨日累计治愈新增
self.died = 0 # 累计死亡
self.diedRelative = 0 # 较昨日累计死亡新增
self.updatedTime = 0 # 发布时间
# 返回元组
def get_inside_summary_tuple(self):
return ((self.curConfirm, self.curConfirmRelative, self.asymptomatic, self.asymptomaticRelative, \
self.unconfirmed, self.unconfirmedRelative, self.icu, self.icuRelative, self.confirmed, \
self.confirmedRelative, self.overseasInput, self.overseasInputRelative, self.cured,
self.curedRelative, \
self.died, self.diedRelative, self.updatedTime))
# 输出接口
def __str__(self):
return '%s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s %s' % (
self.curConfirm, self.curConfirmRelative, self.asymptomatic, self.asymptomaticRelative,
self.unconfirmed,
self.unconfirmedRelative, self.icu, self.icuRelative, self.confirmed, self.confirmedRelative,
self.overseasInput, self.overseasInputRelative, self.cured, self.curedRelative, self.died,
self.diedRelative,
self.updatedTime)
def get_text():# 爬取国内疫情数据文本
print(1)
res = requests.get('https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5')
res = res.content.decode('utf-8')
dict = json.loads(res) # str->dict
# 规范数据
for key in dict:
try:
dict[key] = dict[key].replace('\\', '')
key = key.replace('\\', '')
except:
pass
data = json.loads(dict['data'])
return data
# 国内疫情数据赋值
def fetch_inside_summary():
print(2)
dataf=get_text()
insideSummary = class_InsideSummary()
insideSummary.curConfirm = int(dataf['chinaTotal']['nowConfirm'])
insideSummary.curConfirmRelative = int(dataf['chinaAdd']['nowConfirm'])
insideSummary.asymptomatic = int(dataf['chinaTotal']['noInfect'])
insideSummary.asymptomaticRelative = int(dataf['chinaAdd']['noInfect'])
insideSummary.unconfirmed = int(dataf['chinaTotal']['suspect'])
insideSummary.unconfirmedRelative = int(dataf['chinaAdd']['suspect'])
insideSummary.icu = int(dataf['chinaTotal']['nowSevere'])
insideSummary.icuRelative = int(dataf['chinaAdd']['nowSevere'])
insideSummary.confirmed = int(dataf['chinaTotal']['confirm'])
insideSummary.updatedTime = dataf['lastUpdateTime']
insideSummary.confirmedRelative = int(dataf['chinaAdd']['confirm'])
insideSummary.overseasInput = int(dataf['chinaTotal']['importedCase'])
insideSummary.overseasInputRelative = int(dataf['chinaAdd']['importedCase'])
insideSummary.cured = int(dataf['chinaTotal']['heal'])
insideSummary.curedRelative = int(dataf['chinaAdd']['heal'])
insideSummary.died = int(dataf['chinaTotal']['dead'])
insideSummary.diedRelative = int(dataf['chinaAdd']['dead'])
return insideSummary
# 保存国内疫情概况数据
def insert(res,ds):
print(3)
# 创建连接,并且返回连接对象
conn = pymysql.connect(host = ds[0],user = ds[1],passwd = ds[2],db = ds[3])
# 创建游标对象
cursor = conn.cursor()
date = data['lastUpdateTime'][:11]
print(date)
sql = 'delete from home_realtime_datas where updatedTime like "%s"' % (date + '%')
print('delete old_insidesummary_datas successful')
try:
cursor.execute(sql)
conn.commit()
except Exception as e:
print(e)
sql = 'insert into home_realtime_datas(curConfirm,curConfirmRelative,asymptomatic,asymptomaticRelative,unconfirmed,unconfirmedRelative,icu,icuRelative,confirmed,confirmedRelative,overseasInput,overseasInputRelative,cured,curedRelative,died,diedRelative,updatedTime) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'
try:
cursor.execute(sql, res)
conn.commit()
print("+++ save_insidesummary_datas successful")
print('+++ save_outsideSummary_datas, data len: %d' % len(res))
except Exception as e:
print(e)
print('+++ save_insidesummary_datas fail.')
print('+++ save_insidesummary_datas is over.')
cursor.close()
conn.close()
########InsideSummary__main__####################
data = get_text()
print(9)
insert(fetch_inside_summary().get_inside_summary_tuple(),ds)
ds=['localhost','root','20Z00t10x28_my','covid19']
while(True):
Inside(ds)
InsideSummary(ds)
Outside(ds)
OutsideSummary(ds)
time.sleep(3600)

@ -1,136 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"id:74894\n",
"pubDate:2020-08-12 17:17:01\n",
"pubDateStr:9分钟前\n",
"title:以色列新增366例新冠肺炎确诊病例 累计86959例\n",
"summary:当地时间8月12日上午以色列卫生部公布的疫情通报显示11日23时至12日11时以色列新增366例新冠肺炎确诊病例累计达86959例无新增死亡病例累计死亡622人。截至目前现存确诊病例24761例有377人病情危重其中110人使用呼吸机已有61576人治愈康复。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74891\n",
"pubDate:2020-08-12 17:14:28\n",
"pubDateStr:11分钟前\n",
"title:巴林新增407例新冠肺炎确诊病例 累计44804例\n",
"summary:巴林卫生部当地时间12日上午发布通告确认境内新增407例新型冠状病毒肺炎确诊病例同时新增2例死亡病例。至此巴林境内累计已发现44804例新型冠状病毒肺炎确诊病例其中41504名患者已经治愈165名患者病重不治去世。3135名仍在医院接受治疗的患者中38人病情较重。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74884\n",
"pubDate:2020-08-12 16:46:46\n",
"pubDateStr:39分钟前\n",
"title:香港新增62例新冠肺炎确诊病例 连续第十日新增病例少于100例\n",
"summary:8月12日下午香港特区政府卫生署卫生防护中心举行发布会。据介绍截至12日零时香港新增62例新冠肺炎确诊病例。这是连续第十日新增确诊病例少于100例。香港累计报告新冠肺炎确诊病例4243例。  新增确诊者中有1例境外输入病例剩余61例均为本地感染病例当中有28例病例暂未查明感染源。12日香港新增四例死亡病例累计死亡63例。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74878\n",
"pubDate:2020-08-12 16:30:22\n",
"pubDateStr:55分钟前\n",
"title:菲律宾新增4444例新冠肺炎确诊病例 累计确诊143749例\n",
"summary:8月12日菲律宾卫生部发布消息称截至12日下午4点菲律宾新增4444例新冠肺炎确诊病例确诊病例累计达143749例。此外新增死亡病例93例累计死亡2404例。同时新增治愈病例636例累计治愈人数为68997人。\n",
"infoSource:央视新闻app\n",
"\n",
"\n",
"id:74869\n",
"pubDate:2020-08-12 15:52:13\n",
"pubDateStr:1小时前\n",
"title:捷克新增288例新冠肺炎确诊病例 累计18783例\n",
"summary:当地时间8月12日捷克卫生部公布的新冠肺炎疫情数据显示11日全天捷克新增288例新冠肺炎确诊病例累计确诊18783例治愈病例和死亡病例分别为13222例和391例。\n",
"infoSource:央视新闻app\n",
"\n",
"\n"
]
}
],
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import re\n",
"import json\n",
"import time\n",
"#爬取页面\n",
"class NEWS:\n",
" def __init__(self):\n",
" self.id=0\n",
" self.pubDate=''\n",
" self.pubDateStr=''\n",
" self.title=''\n",
" self.summary=''\n",
" self.infoSource=''\n",
" \n",
" def __str__(self):\n",
" return 'id:%d\\npubDate:%s\\npubDateStr:%s\\ntitle:%s\\nsummary:%s\\ninfoSource:%s\\n'%(self.id,self.pubDate,self.pubDateStr,self.title,self.summary,self.infoSource)\n",
" \n",
" \n",
"res=requests.get('http://ncov.dxy.cn/ncovh5/view/pneumonia')\n",
"#重新解码\n",
"res=res.content.decode('utf-8')\n",
"#构建对象\n",
"soup=BeautifulSoup(res,'html.parser')\n",
"#打标签\n",
"tag = soup.find('script', attrs={'id':'getTimelineService1'})\n",
"#转换为字符串\n",
"tagstr = tag.string\n",
"#使用正则表达式提取信息\n",
"results = re.findall('(\\\\{\\\"id\\\".*?\\\"provinceId\\\".*?\\\\})', tagstr)\n",
"\n",
"all_New=[]\n",
"for item in results:\n",
" New=NEWS()\n",
" obj=json.loads(item)\n",
" New.id=obj['id']\n",
" New.pubDate=time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(float(obj['pubDate'])/1000))\n",
" New.pubDateStr=obj['pubDateStr']\n",
" New.title=obj['title']\n",
" New.summary=obj['summary']\n",
" New.infoSource=obj['infoSource']\n",
" all_New.append(New)\n",
"for item in all_New:\n",
" print(item)\n",
" print()\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

@ -0,0 +1,71 @@
create database covid19;
use covid19;
create table province_daily_datas(
provinceName varchar(30),
provinceShortName varchar(10),
currentConfirmedCount int,
confirmedCount int,
suspectedCount int,
curedCount int,
deadCount int,
pub_time varchar(30)
);
create table city_daily_datas(
cityName varchar(30),
currentConfirmedCount int,
confirmedCount int,
suspectedCount int,
curedCount int,
deadCount int,
locationId int,
province varchar(30),
pub_time varchar(30)
);
create table country_daily_datas(
countryName varchar(30),
currentConfirmedCount int,
confirmedCount int,
confirmedCountRank int,
curedCount int,
deadCount int,
deadCountRank int,
deadRate float,
deadRateRank int,
pub_time varchar(30)
);
create table home_realtime_datas
(
curConfirm INT comment '现有确诊',
curConfirmRelative INT comment '较昨日新增确诊',
asymptomatic INT comment '无症状感染',
asymptomaticRelative INT comment '较昨日新增无症状感染',
unconfirmed INT comment '现有疑似',
unconfirmedRelative INT comment '较昨日疑似新增',
icu INT comment '现有重症',
icuRelative INT comment '较昨日重症病例新增',
confirmed INT comment '累计确诊',
confirmedRelative INT comment '较昨日累计确诊新增',
overseasInput INT comment '累计境外输入',
overseasInputRelative INT comment '较昨日累计境外输入新增',
cured INT comment '累计治愈',
curedRelative INT comment '较昨日累计治愈新增',
died INT comment '累计死亡',
diedRelative INT comment '较昨日累计死亡新增',
updatedTime VARCHAR(4000)comment'发布时间'
) comment'国内实时疫情概况 该表中只保留当前最新的一条数据记录';
create table outsideSummary_realtime_datas
(
currentConfirmedCount INT comment '现存确诊',
confirmedCount INT comment '累计确诊',
suspectedCount INT comment '现存疑似',
curedCount INT comment '累计治愈',
deadCount INT comment '累计死亡',
suspectedIncr INT comment '新增疑似病例',
currentConfirmedIncr INT comment '新增现存确诊',
confirmedIncr INT comment '新增累计确诊',
curedIncr INT comment '新增治愈',
deadIncr INT comment '新增死亡',
updatedTime VARCHAR(200) comment '更新时间'
) comment '国外疫情实时概况表';
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