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79
Main.txt
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import pymysql
import requests
from bs4 import BeautifulSoup
import json
import re
import pymysql
def getData(DB):
cs = DB.cursor()
cs.execute('select * from cn')
res = cs.fetchone()
print(res)
def delData(DB,day):
cs = DB.cursor()
tmp = day[0:11:1] +'%'
sql = 'delete from cn where date like %s'
data = [tmp]
try:
cs.executemany(sql,data)
DB.commit()
except Exception as e:
print('删除不成功')
print(e)
def fun1(summary):
tmp = summary.__dict__
d = []
for item in tmp:
d.append(tmp[item])
return d
def save_summary(host,user, password, database):
#db = pymysql.connect('localhost', 'root', '123456', 'covid19')
db = pymysql.connect(host,user, password, database)
cs = db.cursor()
tmp,time = Mod_Summary_CN()
D = fun1(tmp)
tmp1 = []
for i in range(0,18):
tmp1.append(D[i])
tmp1.append(time)
tmp2 = tuple(tmp1)
sql = 'insert into cn(confirmed, confirmed_R, curConfirm, curConfirm_R, died, died_R,cured, cured_R, asymptomatic, asymptomatic_R, unconfirmed, \
unconfirmed_R, icu, icu_R, overseasIn, overseasIn_R, unOverseasInC, unOverseasInA, date)values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)'
data = []
data.append(tmp2)
try:
delData(db,time)
cs.executemany(sql,data)
except Exception as e:
print('添加不成功')
print(e)
else:
db.commit()
print('添加成功')
getData(db)
cs.close()
db.close()

50
Mod_Summary_CN().txt
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import requests
from bs4 import BeautifulSoup
import json
import re
def Mod_Summary_CN():
response = requests.get('https://voice.baidu.com/act/newpneumonia/newpneumonia/')
content = response.text
soup = BeautifulSoup(content, 'html.parser')
tag1 = soup.find('script', attrs={'id':'captain-config'})
tagstr = str(tag1)
res = re.findall(r'(\{".*?".*?\})',tagstr)
tagJson = json.loads(res[831])
temp1 = re.findall(r'("mapLastUpdatedTime":".*?")',tagstr)
temp2 = str(temp1[0])
time = temp2[22:len(temp2)-1:1]
summary = Summary()
summary.confirmed = int(tagJson['confirmed'])
summary.confirmedRelative = int(tagJson['confirmedRelative'])
summary.curConfirm = int(tagJson['curConfirm'])
summary.curConfirmRelative = int(tagJson['curConfirmRelative'])
summary.died = int(tagJson['died'])
summary.diedRelative = int(tagJson['diedRelative'])
summary.cured = int(tagJson['cured'])
summary.curedRelative = int(tagJson['curedRelative'])
summary.asymptomatic = int(tagJson['asymptomatic'])
summary.asymptomaticRelative = int(tagJson['asymptomaticRelative'])
summary.unconfirmed = int(tagJson['unconfirmed'])
summary.unconfirmedRelative = int(tagJson['unconfirmedRelative'])
summary.icu = int(tagJson['icu'])
summary.icuRelative = int(tagJson['icuRelative'])
summary.overseasInput = int(tagJson['overseasInput'])
summary.overseasInputRelative = int(tagJson['overseasInputRelative'])
summary.unOverseasInputCumulative = int(tagJson['unOverseasInputCumulative'])
summary.unOverseasInputNewAdd = int(tagJson['unOverseasInputNewAdd'])
summary.icuDisable = int(tagJson['icuDisable'])
#print('---------------------------------------------------------')
#print(' 更新时间：%s'%(time))
#print('---------------------------------------------------------')
#print(summary)

12
We_test.html
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<!doctype html>
<html>
<head>
<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>
</head>
 <body>
<div id="main1" style="width:100%;height: 600px;"></div>
<script src="../static/js/Map_Contop5.js"></script>
 </body>
</html>

30
class Summary.txt
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class Summary:
import time
def __init__(self):
self.confirmed = 0
self.confirmedRelative = 0
self.curConfirm = 0
self.curConfirmRelative = 0
self.died = 0
self.diedRelative = 0
self.cured = 0
self.curedRelative = 0
self.asymptomatic = 0
self.asymptomaticRelative = 0
self.unconfirmed = 0
self.unconfirmedRelative = 0
self.icu = 0
self.icuRelative = 0
self.overseasInput = 0
self.overseasInputRelative = 0
self.unOverseasInputCumulative = 0
self.unOverseasInputNewAdd = 0
self.icuDisable = 0
def __str__(self):
return '\n累计确诊：%d\n累计确诊增加：%d\n现有确诊：%d\n新增确诊（较昨日）：%d\n累计死亡：%d\n新增死亡：%d\n累计治愈：%d\n新增治愈：%d\n\
累计无症状感染者：%d\n新增无症状感染者：%d\n现有疑似：%d\n新增疑似：%d\n现有重症：%d\n新增重症：%d\n累计境外输入：%d\n\
新增境外输入：%d\n累计非境外输入的确诊：%d\n非境外输入的新增确诊：%d\n？？？：%d'\
%(self.confirmed,self.confirmedRelative,self.curConfirm,self.curConfirmRelative,self.died,self.diedRelative,self.cured,self.curedRelative,self.asymptomatic,self.asymptomaticRelative,self.unconfirmed,self.unconfirmedRelative,self.icu,self.icuRelative,self.overseasInput,self.overseasInputRelative,self.unOverseasInputCumulative,self.unOverseasInputNewAdd,self.icuDisable)

138
foreign_datas.py
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import pymysql
import requests
from bs4 import BeautifulSoup
import json
class ForeignCountry:
def __init__(self):
self.died = 0
self.confirmed = 0
self.crued = 0
self.area = ''
self.curConfirm = 0
self.confirmedRelative = 0
self.pub_date = ''
def __str__(self):
return 'area: %s, died: %s, confirmed: %s, crued: %s, curConfirm: %s, confirmedRelative: %s, pub_date: %s' % (self.area, self.died, self.confirmed, self.crued, self.curConfirm, self.confirmedRelative, self.pub_date)
def get_fcountry_info_tuple(self):
return ((self.died, self.confirmed, self.crued, self.area, self.curConfirm, self.confirmedRelative, self.pub_date))
class MyDB:
def __init__(self, host, user, passwd, db):
self.conn = pymysql.connect(host, user, passwd, db)
self.cursor = self.conn.cursor()
# 获取国外国家类参数列表格式
def get_fcountry_args_list(self, all_foreign_countries):
all_args_list = []
for country in all_foreign_countries:
info = country.get_fcountry_info_tuple()
all_args_list.append(info)
return all_args_list
# 保存国外每日疫情数据
def save_outside_daily_datas(self, all_foreign_countries):
curdate=all_foreign_countries[0].pub_date
#先删除当天已有的数据
sql='delete from foreign_daily_datas where pub_date like "%s"'%(curdate[:10]+ '%')
try:
self.cursor.execute(sql)
self.conn.commit()
except Exception as e:
print(e)
sql = 'insert into foreign_daily_datas(died, confirmed, crued, area, curConfirm, confirmedRelative, pub_date) values(%s, %s, %s, %s, %s, %s, %s)'
res = self.get_fcountry_args_list(all_foreign_countries)
print('+++ foreign_daily_datas, data len: %d' % len(res))
try:
self.cursor.executemany(sql, res)
self.conn.commit()
except Exception as e:
print(e)
print('+++ foreign_daily_datas is over.')
def __del__(self):
if self.conn is not None:
self.conn.close()
class DataService:
#解析网页
def __init__(self):
self.url = 'https://voice.baidu.com/act/newpneumonia/newpneumonia'
self.db = MyDB('localhost', 'root', '1999z5g24x','text_data_increasing')
# 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_target_page(self, html):
soup = BeautifulSoup(html)
tag = soup.find('script', attrs={'id':'captain-config'})
tagStr = tag.string
tagDict = json.loads(tagStr)
# 提取数据更新时间\n",
self.pub_date = tagDict['component'][0]['mapLastUpdatedTime']
# 获取国外各国家的数据\n",
self.outsideDatas = tagDict['component'][0]['caseOutsideList']
# 处理字符串
def process_str(self, s):
ret = ''
if s is None or s == '':
ret ='0'
else:
ret = s
return ret
def getOrElse(self,target, key):
ret = ''
if target.get(key) != None:
ret = target[key]
else:
ret = ''
return ret
#解析国外数据
def parse_outside_daily_datas(self):
# self.__outsideDailyDatas为list，一个国家对应一个元素    
all_foreign_countries = []
for item in self.outsideDatas:
country = ForeignCountry()
country.died = self.getOrElse(item, 'died')
country.confirmed = self.getOrElse(item, 'confirmed')
country.crued = self.getOrElse(item, 'crued')
country.area = self.getOrElse(item, 'area')
country.curConfirm = self.getOrElse(item, 'curConfirm')
country.confirmedRelative = self.getOrElse(item, 'confirmedRelative')
country.pub_date = self.pub_date
all_foreign_countries.append(country)
return all_foreign_countries
# 提取内容生成对象
def fetch_page_datas(self):
all_countries = self.parse_outside_daily_datas()
#for item in all_countries:
# print(item)
return all_countries
# 业务函数
def process_data(self):
html = self.fetch_html_page()
self.parse_target_page(html)
all_countries = self.fetch_page_datas()
# 保存数据
self.db.save_outside_daily_datas(all_countries)
# 创建Dataservice对象
ds = DataService()
ds.process_data()

11
foreign_table.sql
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create table foreign_daily_datas
(      
Id                INT primary key auto_increment not null comment '编号',      
died              INT comment '累计死亡',      
confirmed         INT comment '累计确诊',      
crued             INT comment '累计治愈',      
area              VARCHAR(4000) comment '国家',      
curConfirm        INT comment '现有确诊',      
confirmedRelative INT comment '较昨日新增确诊',      
pub_date          VARCHAR(4000) comment '发布日期'
) comment '国外各国家每日疫情数据';

92
get_datas.py
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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
# 获取现有确诊人数最多的5个国家
def get_country_curconfirm_top5(self):
curdate = self.get_cur_date() # 获取当天的日期
sql = "select area,curConfirm,pub_date from foreign_daily_datas where pub_date like '%s' order by curConfirm desc limit 5" % (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 area,curConfirm,pub_date from foreign_daily_datas where pub_date like '%s' order by curConfirm desc limit 5" % (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
#测试
if __name__ == "__main__":
mydb = MyDB('localhost', 'root', '1999z5g24x', 'text_data_increasing')
results = mydb.get_country_curconfirm_top5() # results : []
for i in results:
print(i)
from flask import Flask, render_template
from flask import jsonify
app = Flask(__name__)
@app.route('/hello')
def say_hello():
return '<html><body><h1>Hello World</h1></body></html>'
@app.route('/')
def hello():
return render_template('we_text.html', name='Jerry')
@app.route('/country_topn_curconfirm')
def get_country_curconfirm_topn():
mydb = MyDB('localhost', 'root', '1999z5g24x', 'text_data_increasing')
results = mydb.get_country_curconfirm_top5() # results : []
return jsonify(pub_date=results[0][2], country=[x[0] for x in results], curConfirms=[x[1] for x in results])
app.run()

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insidenews_daily_datas.ibd
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insidenews_daily_datas.sql
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INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (227, '1597486145', '香港国际机场：17日起香港始发至北京旅客须出示核酸阴性证明', '新京报', 'http://baijiahao.baidu.com/s?id=1675085702069685894', 'https://baijiahao.baidu.com/u?app_id=1566453612428800', 'http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (228, '1597480965', '香港新增46例确诊病例，本地确诊病例中12例源头不明', '北京日报客户端', 'http://baijiahao.baidu.com/s?id=1675080200576225905', 'https://baijiahao.baidu.com/u?app_id=1601149438053974', 'http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (229, '1597479250', '如何预防食品被新冠病毒污染？国家卫健委权威解答来了', '北京日报客户端', 'http://baijiahao.baidu.com/s?id=1675078402350730754', 'https://baijiahao.baidu.com/u?app_id=1601149438053974', 'http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (230, '1597476794', '盒马女员工确诊后：已现5名无症状感染者，陆丰关闭全市影院', '澎湃新闻', 'http://baijiahao.baidu.com/s?id=1675077646785524469', 'http://baijiahao.baidu.com/u?app_id=1574072008111128', 'https://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&autorotate=1&di=981660edc8c99e4c30c64c8c16b13c9e&quality=90&size=b200_200&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F4fc6af3badccf874e88a54f0454800dd.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (231, '1597451902', '北京：0×8！治愈出院1例', '北京日报客户端', 'http://baijiahao.baidu.com/s?id=1675049725655985167', 'https://baijiahao.baidu.com/u?app_id=1601149438053974', 'http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (232, '1597450721', '广东新增本土确诊病例1例 新增本土无症状感染者5例', '新京报', 'http://baijiahao.baidu.com/s?id=1675048520075285826', 'http://baijiahao.baidu.com/u?app_id=1566453612428800', 'https://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&autorotate=1&di=617e20122875025f848affc610c01ab6&quality=90&size=b200_200&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F78cb240347b1d135ab2dff9ecd330848.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (233, '1597450553', '新疆新增确诊病例7例、无症状感染者2例，均在乌鲁木齐市', '红星新闻', 'http://baijiahao.baidu.com/s?id=1675048339664139922', 'https://baijiahao.baidu.com/u?app_id=1561825967470087', 'http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (234, '1597449754', '国家卫健委：昨日新增确诊22例，其中本土病例8例', '红星新闻', 'http://baijiahao.baidu.com/s?id=1675046583761624204', 'https://baijiahao.baidu.com/u?app_id=1561825967470087', 'http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (235, '1597449003', '上海昨日新增境外输入4例，治愈出院1例', '环球网', 'http://baijiahao.baidu.com/s?id=1675046685963523721', 'https://baijiahao.baidu.com/u?app_id=1549608413453462', 'http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (236, '1597419912', '国家药监局：新冠疫苗至少应适用于包括老年人在内的成年人，至少提供6个月的保护', '界面新闻', 'http://baijiahao.baidu.com/s?id=1675016498992824156', 'https://baijiahao.baidu.com/u?app_id=1565176801499628', 'http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (237, '1597414464', '广东发现1名新冠肺炎确诊病例，3名家属为无症状感染者', '健康时报客户端', 'http://baijiahao.baidu.com/s?id=1675010469387071182', 'https://baijiahao.baidu.com/u?app_id=1611927141597564', 'http://pic.rmb.bdstatic.com/3b1c417b7caf2f9e36188b2ed3af9dfa.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (238, '1597413001', '深圳一名盒马鲜生超市员工确诊，2名同事核酸阳性', '潇湘晨报', 'http://baijiahao.baidu.com/s?id=1675013430316463836', 'https://baijiahao.baidu.com/u?app_id=1606863438588053', 'http://pic.rmb.bdstatic.com/a51d142ac7625feda1002f0c739ae255.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (239, '1597406412', '广东省陆丰市南塘镇发现1例新冠肺炎确诊病例 系超市员工', '环球网', 'http://baijiahao.baidu.com/s?id=1675002025921946606', 'https://baijiahao.baidu.com/u?app_id=1549608413453462', 'http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (240, '1597365206', '北京连续7天无新增确诊病例', '北京日报客户端', 'http://baijiahao.baidu.com/s?id=1674958818814076433', 'https://baijiahao.baidu.com/u?app_id=1601149438053974', 'http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg');
INSERT INTO `insidenews_daily_datas`(`id`, `eventTime`, `eventDescription`, `siteName`, `eventUrl`, `homepageUrl`, `item_avatar`) VALUES (241, '1597364519', '新疆新增确诊病例8例，新增无症状感染者4例', '北京日报客户端', 'http://baijiahao.baidu.com/s?id=1674958098711022842', 'https://baijiahao.baidu.com/u?app_id=1601149438053974', 'http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg');
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39
insidenews_daily_datas.txt
Unescape View File

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"228" "1597480965" "香港新增46例确诊病例，本地确诊病例中12例源头不明" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1675080200576225905" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"229" "1597479250" "如何预防食品被新冠病毒污染？国家卫健委权威解答来了" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1675078402350730754" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"230" "1597476794" "盒马女员工确诊后：已现5名无症状感染者，陆丰关闭全市影院" "澎湃新闻" "http://baijiahao.baidu.com/s?id=1675077646785524469" "http://baijiahao.baidu.com/u?app_id=1574072008111128" "https://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&autorotate=1&di=981660edc8c99e4c30c64c8c16b13c9e&quality=90&size=b200_200&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F4fc6af3badccf874e88a54f0454800dd.jpeg"
"231" "1597451902" "北京：0×8！治愈出院1例" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1675049725655985167" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"232" "1597450721" "广东新增本土确诊病例1例 新增本土无症状感染者5例" "新京报" "http://baijiahao.baidu.com/s?id=1675048520075285826" "http://baijiahao.baidu.com/u?app_id=1566453612428800" "https://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&autorotate=1&di=617e20122875025f848affc610c01ab6&quality=90&size=b200_200&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F78cb240347b1d135ab2dff9ecd330848.jpeg"
"233" "1597450553" "新疆新增确诊病例7例、无症状感染者2例，均在乌鲁木齐市" "红星新闻" "http://baijiahao.baidu.com/s?id=1675048339664139922" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"234" "1597449754" "国家卫健委：昨日新增确诊22例，其中本土病例8例" "红星新闻" "http://baijiahao.baidu.com/s?id=1675046583761624204" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"235" "1597449003" "上海昨日新增境外输入4例，治愈出院1例" "环球网" "http://baijiahao.baidu.com/s?id=1675046685963523721" "https://baijiahao.baidu.com/u?app_id=1549608413453462" "http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39"
"236" "1597419912" "国家药监局：新冠疫苗至少应适用于包括老年人在内的成年人，至少提供6个月的保护" "界面新闻" "http://baijiahao.baidu.com/s?id=1675016498992824156" "https://baijiahao.baidu.com/u?app_id=1565176801499628" "http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg"
"237" "1597414464" "广东发现1名新冠肺炎确诊病例，3名家属为无症状感染者" "健康时报客户端" "http://baijiahao.baidu.com/s?id=1675010469387071182" "https://baijiahao.baidu.com/u?app_id=1611927141597564" "http://pic.rmb.bdstatic.com/3b1c417b7caf2f9e36188b2ed3af9dfa.jpeg"
"238" "1597413001" "深圳一名盒马鲜生超市员工确诊，2名同事核酸阳性" "潇湘晨报" "http://baijiahao.baidu.com/s?id=1675013430316463836" "https://baijiahao.baidu.com/u?app_id=1606863438588053" "http://pic.rmb.bdstatic.com/a51d142ac7625feda1002f0c739ae255.jpeg"
"239" "1597406412" "广东省陆丰市南塘镇发现1例新冠肺炎确诊病例 系超市员工" "环球网" "http://baijiahao.baidu.com/s?id=1675002025921946606" "https://baijiahao.baidu.com/u?app_id=1549608413453462" "http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39"
"240" "1597365206" "北京连续7天无新增确诊病例" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674958818814076433" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"241" "1597364519" "新疆新增确诊病例8例，新增无症状感染者4例" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674958098711022842" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"242" "1597363450" "31省区市新增30例，其中本土8例均在新疆" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674956977762490828" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"243" "1597362703" "上海新增境外输入16例，同航班密接者253人均已集中隔离" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674956193709815168" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"244" "1597307802" "香港新增69例确诊病例 连续11天少于100例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674899084923966372" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"245" "1597307340" "新发地市场复市安排出炉！主市场南部区域8月15日起营业" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674898142302723171" "http://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/73c41abfdd401cc72e04d64b3ce0103d.jpeg"
"246" "1597278720" "北京连续6日零新增" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674868131526596687" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"247" "1597278262" "国家卫健委：昨日新增确诊病例19例 本土病例8例" "环球时报" "http://baijiahao.baidu.com/s?id=1674867651765148223" "https://baijiahao.baidu.com/u?app_id=1551968238585112" "http://pic.rmb.bdstatic.com/07feda26036edb976980ce1e803de532.jpeg@c_1,w_640,h_640,x_0,y_0"
"248" "1597277648" "新疆（含兵团）新增新冠肺炎确诊病例8例 均在乌鲁木齐市" "环球网" "http://baijiahao.baidu.com/s?id=1674867007109286633" "https://baijiahao.baidu.com/u?app_id=1549608413453462" "http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39"
"249" "1597276086" "上海昨日无新增本地新冠肺炎确诊病例，新增境外输入2例" "环球网" "http://baijiahao.baidu.com/s?id=1674865718710262411" "https://baijiahao.baidu.com/u?app_id=1549608413453462" "http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39"
"250" "1597235700" "一境外输入确诊患者治愈数月后复阳 目前在上海隔离诊治" "新京报" "http://baijiahao.baidu.com/s?id=1674823034158688355" "https://baijiahao.baidu.com/u?app_id=1566453612428800" "http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg"
"251" "1597221655" "香港新增62例确诊病例 连续10天少于100例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674808294135893351" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"252" "1597217665" "安徽芜湖一餐饮店进口冻虾新冠病毒检出疑似阳性" "央视新闻" "http://baijiahao.baidu.com/s?id=1674804105747106594" "http://baijiahao.baidu.com/u?app_id=1570168240515616" "http://pic.rmb.bdstatic.com/0026e9a191787761348be081d428a354.jpeg"
"253" "1597193291" "国家卫健委：昨日新增确诊25例，其中本土病例9例（均在新疆）" "红星新闻" "http://baijiahao.baidu.com/s?id=1674772359564935639" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"254" "1597192410" "北京连续5天无新增确诊病例" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674777629341250609" "http://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/73c41abfdd401cc72e04d64b3ce0103d.jpeg"
"255" "1597192142" "广东新增境外输入确诊病例6例：广州报告1例、珠海5例" "红星新闻" "http://baijiahao.baidu.com/s?id=1674777366221789944" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"256" "1597191705" "新疆报告新增新冠肺炎确诊病例9例，新增无症状感染者8例" "环球网" "http://baijiahao.baidu.com/s?id=1674776890002663976" "https://baijiahao.baidu.com/u?app_id=1549608413453462" "http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39"
"257" "1597190188" "上海新增境外输入4例，已追踪同航班密接者106人" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674775298876647449" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"258" "1597105476" "新疆昨日新增确诊13例，新增无症状感染者11例，均在乌鲁木齐市" "红星新闻" "http://baijiahao.baidu.com/s?id=1674686471966488007" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"259" "1597103162" "昨天上海新增8例境外输入病例：均为中国籍，在阿联酋工作" "红星新闻" "http://baijiahao.baidu.com/s?id=1674684045559410432" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"260" "1597057109" "辽宁省新增2例境外输入确诊病例，分别来自美国和菲律宾" "环球网" "http://baijiahao.baidu.com/s?id=1674636151291490440" "http://baijiahao.baidu.com/u?app_id=1549608413453462" "http://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&di=3fb711aa6bf5a0beda833cb57989fa42&quality=90&size=b870_10000&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F2f338c67bc166c145cd457c01e102de5.jpeg"
"261" "1597047600" "香港新增69例确诊病例 连续8天少于100例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674626913670664857" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"262" "1597045994" "韩国境外输入性新冠病例中检出3例病毒变异" "界面新闻" "http://baijiahao.baidu.com/s?id=1674624304511109399" "https://baijiahao.baidu.com/u?app_id=1565176801499628" "http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg"
"263" "1597019819" "新疆新增新冠确诊病例14例，无症状感染者7例，均在乌鲁木齐市" "红星新闻" "http://baijiahao.baidu.com/s?id=1674596654587658867" "https://baijiahao.baidu.com/u?app_id=1561825967470087" "http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg"
"264" "1597019546" "北京连续三日零新增！" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674596367795749792" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"265" "1597018528" "广东新增境外输入3例，入境后即被隔离观察" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674595300038757825" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"

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"174" "1597012823" "「战疫全时区」美国单日新增确诊病例逾4万例 累计超519万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674589542624222920" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"175" "1597012711" "「战疫全时区」巴西单日新增确诊病例逾2.3万例 累计超303万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674589406966244222" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
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"177" "1596960850" "日本连续5天新增逾千例 安倍：极力避免再次进入紧急状态" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674535368426252580" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
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"179" "1596953765" "印度第3位部长级官员确诊感染新冠肺炎 身兼多份国务要职" "新京报" "http://baijiahao.baidu.com/s?id=1674527459855975038" "https://baijiahao.baidu.com/u?app_id=1566453612428800" "http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg"
"180" "1596942761" "印度安德拉邦一新冠肺炎征用酒店起火 已致4人死亡" "新京报" "http://baijiahao.baidu.com/s?id=1674515947367591821" "https://baijiahao.baidu.com/u?app_id=1566453612428800" "http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg"
"181" "1596931253" "警惕！日本研究发现变异新冠病毒，已向全国各地扩散" "北晚新视觉网" "http://baijiahao.baidu.com/s?id=1674503882559884129" "https://baijiahao.baidu.com/u?app_id=1549941228125394" "http://pic.rmb.bdstatic.com/b9279adf974b78d27201a0b34970c2a9.jpeg"
"182" "1596927420" "一文读懂全球疫情：全球累计确诊超1977万例 印度连续10天日增病例超5万" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674500137134331393" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"183" "1596926700" "「战疫全时区」美国单日新增确诊病例超6.1万例 累计逾514万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674499173102689654" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"184" "1596926340" "「战疫全时区」巴西累计确诊病例超301万例 死亡逾10万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674498936636405454" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"185" "1596871924" "「战疫全时区」俄罗斯新增5212例确诊病例 累计确诊超88万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674442809541789098" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"186" "1596860880" "「战疫全时区」印度日增超6.1万例 累计确诊超208万" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674430048790588388" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"187" "1596840442" "一文读懂全球疫情：全球累计确诊近1950万例 印度累计确诊超过200万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674408972047141586" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"188" "1596839886" "「战疫全时区」巴西单日新增确诊病例超4.4万例 累计逾296万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674408470860851393" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"189" "1596839434" "「战疫全时区」美国单日新增确诊病例超6万例 累计逾508万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674407841000149898" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"190" "1596817404" "20天！印度新冠确诊病例从100万增至200万" "北京日报客户端" "http://baijiahao.baidu.com/s?id=1674384907923543549" "https://baijiahao.baidu.com/u?app_id=1601149438053974" "http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg"
"191" "1596801592" "8月7日全球疫情观察：至少22国日增确诊超千例 印度累计确诊逾200万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674368083759315686" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"192" "1596786000" "「战疫全时区」俄罗斯新增5241例确诊病例 累计确诊超87万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674351790374377698" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"193" "1596783247" "白俄罗斯总统卢卡申科：有人故意将新冠病毒传染给我" "新京报" "http://baijiahao.baidu.com/s?id=1674348658542718182" "https://baijiahao.baidu.com/u?app_id=1566453612428800" "http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg"
"194" "1596769135" "印度成全球第三个确诊破200万的国家，21天新增100万" "新京报" "http://baijiahao.baidu.com/s?id=1674333884198078936" "https://baijiahao.baidu.com/u?app_id=1566453612428800" "http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg"
"195" "1596760866" "世卫组织：已有六种新冠疫苗进入三期临床试验阶段 其中三种来自中国" "中国日报网" "http://baijiahao.baidu.com/s?id=1674325335422513595" "https://baijiahao.baidu.com/u?app_id=1567805706555546" "http://pic.rmb.bdstatic.com/8f27cc4a0abf470446a58a0066b710f5.png"
"196" "1596753951" "一文读懂全球疫情：全球累计确诊近1920万例 美国一州长为特朗普接机前确诊" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674318314838065202" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"197" "1596753846" "「战疫全时区」巴西单日新增确诊病例超5.3万例 累计逾291万例" "人民资讯" "http://baijiahao.baidu.com/s?id=1674317758867433207" "https://baijiahao.baidu.com/u?app_id=1669728810290752" "http://pic.rmb.bdstatic.com/bjh/user/867084918f0beae5baa88b1fcbc34f1f.jpeg"
"198" "1596753788" "「战疫全时区」美国单日新增确诊病例超5.9万例 累计逾502万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674318066095349625" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"
"199" "1596723779" "今日疫情汇总：黎巴嫩爆炸恐加剧疫情传播，朝鲜首例疑似检测“没结果”" "纵相新闻" "http://baijiahao.baidu.com/s?id=1674286560061876250" "https://baijiahao.baidu.com/u?app_id=1607773795161133" "http://pic.rmb.bdstatic.com/4221a08a04ad0d69f15b15252297b8e2.jpeg"
"200" "1596708377" "全球新冠肺炎确诊病例超1900万例 死亡病例逾71.1万例" "人民日报海外网" "http://baijiahao.baidu.com/s?id=1674270432508007457" "https://baijiahao.baidu.com/u?app_id=1552864910655429" "http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg"

BIN
outsidenews_daily_datas.xls
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57
show_in_ wb.js
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@ -1,57 +0,0 @@
var myCharts1 = echarts.init(document.getElementById("main1"));
var option1 = {
title: {
text: '现有确诊人数Top5的国家',
subtext: '',
left: 'center',
textStyle:{
color:'#FF0000',
fontFamily:'微软雅黑'
}
},
tooltip: {
formatter: '<br/>{b}:{c}'
},
xAxis: {
type: 'category',
data: []
},
yAxis: {
type: 'value'
},
series: [
{
data: [],
type: 'bar',
showBackground: true,
backgroundStyle: {
color: 'rgba(220, 220, 220, 0.8)'
}
}
]
};
// 向后台发起请求，获取数据
$.ajax({
cache: false,
type:"GET",
url:"/country_topn_curconfirm",
data: null,
dataType : "json",
async: false,
error: function(request) {
alert("发送请求失败！");
},
success: function(result) {
// pub_date, privinces, curConfirms
option1.title.subtext = "数据更新时间： " + result.pub_date
for(i=0; i<result.country.length; ++i) {
option1.xAxis.data.push(result.country[i])
option1.series[0].data.push(result.curConfirms[i])
}
console.info(result)
}
});
myCharts1.setOption(option1);

31
各字段对应属性.txt
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【summaryDataIn】
"confirmed"： 累计确诊：%d\n
"confirmedRelative"： 累计确诊增加：%d\n
"curConfirm": 现有确诊：%d\n
"curConfirmRelative": 新增确诊（较昨日）：%d\n
"died"： 累计死亡：%d\n
"diedRelative"： 新增死亡：%d\n
"cured"： 累计治愈：%d\n
"curedRelative"： 新增治愈：%d\n
"asymptomatic"： 累计无症状感染者：%d\n
"asymptomaticRelative"： 新增无症状感染者：%d\n
"unconfirmed"： 现有疑似：%d\n
"unconfirmedRelative"： 新增疑似：%d\n
"icu": 现有重症：%d\n
"icuRelative"： 新增重症：%d\n
"overseasInput"： 累计境外输入：%d\n
"overseasInputRelative"： 新增境外输入：%d\n
"unOverseasInputCumulative"： 累计非境外输入的确诊：%d\n
"unOverseasInputNewAdd"： 非境外输入的新增确诊：%d\n
"relativeTime"： 时间：%d\n
"icuDisable"： ？？？

120
国内各省份以及地级市疫情数据.txt
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class Province:
def __init__(self):
self.confirmed = 0#
self.died = 0
self.crued = 0
self.confirmedRelative = 0
self.diedRelative = 0
self.curedRelative = 0
self.asymptomaticRelative = 0
self.asymptomatic = 0
self.curConfirm = 0
self.curConfirmRelative = 0
self.area = ''
self.pub_date = ''
self.subList = []
def __str__(self):
return '%s\n省份: %s\n累计确诊: %s(较昨日: %+d)\n累计死亡: %d(较昨日: %+d)\n\
累计治愈: %d(较昨日: %+d)\n现有确诊: %d(较昨日: %+d) \n无症状感染者: %d(较昨日: %+d)\n'% (self.pub_date,self.area, self.confirmed,self.confirmedRelative,
self.died,self.diedRelative,self.crued, self.curedRelative,
self.curConfirm,self.curConfirmRelative,self.asymptomatic,self.asymptomaticRelative )
class City():
def __init__(self):
self.city = ''
self.confirmed = 0
self.died = 0
self.crued = 0
# self.confirmedRelative = 0
self.curConfirm = 0
def __str__(self):
return '%s\n累计确诊: %d\n累计死亡: %d\n累计治愈: \
%d\n现存确诊: %d'% (self.city,self.confirmed, self.died,
self.crued,self.curConfirm)
import requests
from bs4 import BeautifulSoup
import re
import json
def getOrElse(a,key):
ret = ''
if a.get(key) != None:
ret = a[key]
else:
ret = ''
return ret
def processStr(s):
ret = ''
if s==None or s == '':
ret = '0'
else:
ret = s
return ret
def Print(a):
for p in a:
print(p)
if len(p.subList) != 0:
print('- - - - - - - - - - - - - - - - -' * 4)
print('省内各地级市：\n')
else:
pass
for c in p.subList:
print(c)
print()
print('---------------------------------' * 4)
res = requests.get('https://voice.baidu.com/act/newpneumonia/newpneumonia/')
res = res.text
soup = BeautifulSoup(res,'html.parser')
tag = soup.find('script',attrs={'id':'captain-config'})
tagstr = tag.string
tagjson = json.loads(tagstr)
dateinfos = tagjson['component']
insidedateinfos = dateinfos[0]['caseList']
pub_date = tagjson['component'][0]['mapLastUpdatedTime']
all_provinces = []
for item in insidedateinfos:
province = Province()
province.confirmed = int(processStr(getOrElse(item,'confirmed')))
province.died = int(processStr(getOrElse(item,'died')))
province.crued = int(processStr(getOrElse(item,'crued')))
province.confirmedRelative = int(processStr(getOrElse(item,'confirmedRelative')))
province.diedRelative = int(processStr(getOrElse(item,'diedRelative')))
province.curedRelative = int(processStr(getOrElse(item,'curedRelative')))
province.asymptomaticRelative = int(processStr(getOrElse(item,'asymptomaticRelative')))
province.asymptomatic = int(processStr(getOrElse(item,'asymptomatic')))
province.curConfirm = int(processStr(getOrElse(item,'curConfirm')))
province.curConfirmRelative = int(processStr(getOrElse(item,'curConfirmRelative')))
province.pub_date = pub_date
province.area = item['area']
sublist = item['subList']
for cityitem in sublist:
city = City()
city.city = getOrElse(cityitem,'city')
city.confirmed = int(processStr(getOrElse(cityitem,'confirmed')))
city.died = int(processStr(getOrElse(cityitem, 'died')))
city.crued = int(processStr(getOrElse(cityitem,'crued')))
city.confirmedRelative = int(processStr(getOrElse(cityitem, 'confirmedRelative')))
city.curConfirm = int(processStr(getOrElse(cityitem,'curConfirm')))
province.subList.append(city)
all_provinces.append(province)
Print(all_provinces)

24
实时新闻建表sql语句.txt
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outsidenews_daily_datas表即国外新闻表：
CREATE TABLE `covid19_datas_guangxi`.`outsidenews_daily_datas` (
`id` int(0) NOT NULL AUTO_INCREMENT,
`eventTime` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`eventDescription` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`siteName` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`eventUrl` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`homepageUrl` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`item_avatar` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 80 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
insidenews_daily_datas表即国内新闻表：
CREATE TABLE `covid19_datas_guangxi`.`insidenews_daily_datas` (
`ID` int(0) NOT NULL AUTO_INCREMENT,
`eventTime` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`eventDescription` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`siteName` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`eventUrl` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`homepageUrl` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`item_avatar` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`ID`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 148 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

13802
提取实时新闻数据.html
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669
提取实时新闻数据.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 获取国内疫情实时滚动新闻播报数据"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"10193162063076338121\",\"thread_id\":\"1125000033495772\",\"type\":\"news\"},\"eventDescription\":\"北京连续6日零新增\",\"eventTime\":\"1597278720\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674868131526596687\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1601149438053974\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/814a110b34d52c106f9ba99c5d415478.jpeg\",\"siteName\":\"北京日报客户端\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9729390377660864175\",\"thread_id\":\"1062000033493672\",\"type\":\"news\"},\"eventDescription\":\"国家卫健委：昨日新增确诊病例19例 本土病例8例\",\"eventTime\":\"1597278262\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674867651765148223\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1551968238585112\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/07feda26036edb976980ce1e803de532.jpeg@c_1,w_640,h_640,x_0,y_0\",\"siteName\":\"环球时报\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9766033389288531073\",\"thread_id\":\"1035000033486933\",\"type\":\"news\"},\"eventDescription\":\"新疆（含兵团）新增新冠肺炎确诊病例8例 均在乌鲁木齐市\",\"eventTime\":\"1597277648\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674867007109286633\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1549608413453462\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\",\"siteName\":\"环球网\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9382499071856256847\",\"thread_id\":\"1027000033493454\",\"type\":\"news\"},\"eventDescription\":\"上海昨日无新增本地新冠肺炎确诊病例，新增境外输入2例\",\"eventTime\":\"1597276086\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674865718710262411\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1549608413453462\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\",\"siteName\":\"环球网\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9691932825381303415\",\"thread_id\":\"1001000033461176\",\"type\":\"news\"},\"eventDescription\":\"一境外输入确诊患者治愈数月后复阳 目前在上海隔离诊治\",\"eventTime\":\"1597235700\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674823034158688355\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1566453612428800\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/9da74a517eb1befeba93a5f3167cc74b.jpeg\",\"siteName\":\"新京报\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9964760177505552343\",\"thread_id\":\"1011000033456808\",\"type\":\"news\"},\"eventDescription\":\"香港新增62例确诊病例 连续10天少于100例\",\"eventTime\":\"1597221655\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674808294135893351\",\"homepageUrl\":\"https:\\/\\/baijiahao.baidu.com\\/u?app_id=1552864910655429\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/d2f919e031c47d671a5748b5aeafe096.jpeg\",\"siteName\":\"人民日报海外网\"}\n",
"{\"bjh_na\":{\"easyBrowse\":\"1\",\"easyBrowseConfirm\":\"1\",\"nid\":\"9288792493272135235\",\"thread_id\":\"1059000033444318\",\"type\":\"news\"},\"eventDescription\":\"安徽芜湖一餐饮店进口冻虾新冠病毒检出疑似阳性\",\"eventTime\":\"1597217665\",\"eventUrl\":\"http:\\/\\/baijiahao.baidu.com\\/s?id=1674804105747106594\",\"homepageUrl\":\"http:\\/\\/baijiahao.baidu.com\\/u?app_id=1570168240515616\",\"item_avatar\":\"http:\\/\\/pic.rmb.bdstatic.com\\/0026e9a191787761348be081d428a354.jpeg\",\"siteName\":\"央视新闻\"}\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆（含兵团）新增新冠肺炎确诊病例8例 均在乌鲁木齐市, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674867007109286633, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 上海昨日无新增本地新冠肺炎确诊病例，新增境外输入2例, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674865718710262411, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 一境外输入确诊患者治愈数月后复阳 目前在上海隔离诊治, siteName: 新京报, eventUrl: http://baijiahao.baidu.com/s?id=1674823034158688355, homepageUrl: https://baijiahao.baidu.com/u?app_id=1566453612428800, item_avatar: http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 香港新增62例确诊病例 连续10天少于100例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674808294135893351, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 安徽芜湖一餐饮店进口冻虾新冠病毒检出疑似阳性, siteName: 央视新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674804105747106594, homepageUrl: http://baijiahao.baidu.com/u?app_id=1570168240515616, item_avatar: http://pic.rmb.bdstatic.com/0026e9a191787761348be081d428a354.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 国家卫健委：昨日新增确诊25例，其中本土病例9例（均在新疆）, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674772359564935639, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 北京连续5天无新增确诊病例, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674777629341250609, homepageUrl: http://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/73c41abfdd401cc72e04d64b3ce0103d.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 广东新增境外输入确诊病例6例：广州报告1例、珠海5例, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674777366221789944, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆报告新增新冠肺炎确诊病例9例，新增无症状感染者8例, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674776890002663976, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 上海新增境外输入4例，已追踪同航班密接者106人, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674775298876647449, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆昨日新增确诊13例，新增无症状感染者11例，均在乌鲁木齐市, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674686471966488007, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 昨天上海新增8例境外输入病例：均为中国籍，在阿联酋工作, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674684045559410432, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 辽宁省新增2例境外输入确诊病例，分别来自美国和菲律宾, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674636151291490440, homepageUrl: http://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://timg01.bdimg.com/timg?pacompress=&imgtype=0&sec=1439619614&di=3fb711aa6bf5a0beda833cb57989fa42&quality=90&size=b870_10000&src=http%3A%2F%2Fpic.rmb.bdstatic.com%2F2f338c67bc166c145cd457c01e102de5.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 香港新增69例确诊病例 连续8天少于100例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674626913670664857, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 韩国境外输入性新冠病例中检出3例病毒变异, siteName: 界面新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674624304511109399, homepageUrl: https://baijiahao.baidu.com/u?app_id=1565176801499628, item_avatar: http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆新增新冠确诊病例14例，无症状感染者7例，均在乌鲁木齐市, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674596654587658867, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 北京连续三日零新增！, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674596367795749792, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 广东新增境外输入3例，入境后即被隔离观察, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674595300038757825, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 上海昨日无新增本地新冠肺炎确诊病例，新增境外输入18例, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674593640123663447, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 重庆昨日新增无症状感染者1例，为新加坡输入, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674592612999522909, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 一文读懂全球疫情：全球累计确诊超1999万例 美国暴发沙门氏菌疫情, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674590351892834223, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 香港新增72例新冠确诊病例，连续7日少于100例, siteName: 界面新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674536151578789920, homepageUrl: https://baijiahao.baidu.com/u?app_id=1565176801499628, item_avatar: http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆新增确诊病例15例，均在乌鲁木齐, siteName: 新京报, eventUrl: http://baijiahao.baidu.com/s?id=1674505943705180172, homepageUrl: https://baijiahao.baidu.com/u?app_id=1566453612428800, item_avatar: http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 31省区市新增确诊病例23例，其中本土病例15例（均在新疆）, siteName: 健康中国, eventUrl: http://baijiahao.baidu.com/s?id=1674503120087258676, homepageUrl: https://baijiahao.baidu.com/u?app_id=1589908044211516, item_avatar: http://pic.rmb.bdstatic.com/ec0438088a2c4589fb541fbc12b448f0.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 香港新增69例新冠确诊病例，累计超过4000例, siteName: 界面新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674445865981756049, homepageUrl: https://baijiahao.baidu.com/u?app_id=1565176801499628, item_avatar: http://pic.rmb.bdstatic.com/8963c44fe9bb2de078a778f71a32f6eb.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 截至8月7日24时新型冠状病毒肺炎疫情最新情况, siteName: 健康中国, eventUrl: http://baijiahao.baidu.com/s?id=1674417127284939659, homepageUrl: https://baijiahao.baidu.com/u?app_id=1589908044211516, item_avatar: http://pic.rmb.bdstatic.com/ec0438088a2c4589fb541fbc12b448f0.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 北京8月7日无新增报告新冠肺炎确诊病例, siteName: 青瞳视角, eventUrl: http://baijiahao.baidu.com/s?id=1674415443327545029, homepageUrl: https://baijiahao.baidu.com/u?app_id=1636203306265037, item_avatar: http://pic.rmb.bdstatic.com/10c0099fe5c2ef55fbd758a03a6ecafa.jpeg@c_1,w_300,h_300,x_0,y_0\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆新增确诊病例25例、无症状感染者8例, siteName: 新京报, eventUrl: http://baijiahao.baidu.com/s?id=1674414780683115272, homepageUrl: https://baijiahao.baidu.com/u?app_id=1566453612428800, item_avatar: http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 辽宁连续两日无新增本土确诊病例 新增治愈出院3例, siteName: 环球网, eventUrl: http://baijiahao.baidu.com/s?id=1674413542605070060, homepageUrl: https://baijiahao.baidu.com/u?app_id=1549608413453462, item_avatar: http://pic.rmb.bdstatic.com/89e9e167d806065171363ecbcb708a41.png@c_1,w_812,h_812,x_63,y_39\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 新疆目前疫情形势如何？本轮疫情有何特点？最新解读来了, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674379507756801699, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 对话地坛医院专家陈志海：半年抗疫 “新冠”刷新认知, siteName: 新京报, eventUrl: http://baijiahao.baidu.com/s?id=1674366411525373651, homepageUrl: https://baijiahao.baidu.com/u?app_id=1566453612428800, item_avatar: http://pic.rmb.bdstatic.com/9da74a517eb1befeba93a5f3167cc74b.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 林郑月娥：港府将免费为全港市民进行新冠病毒检测, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674350469425444439, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 北京新增大连疫情关联病例1例，新发地疫情病例清零, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674324650362213371, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: , eventDescription: 31省市区新增确诊37例，其中本土病例27例（新疆26例 北京1例）, siteName: 健康中国, eventUrl: http://baijiahao.baidu.com/s?id=1674324373876029599, homepageUrl: https://baijiahao.baidu.com/u?app_id=1589908044211516, item_avatar: http://pic.rmb.bdstatic.com/ec0438088a2c4589fb541fbc12b448f0.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596759965, eventDescription: 新疆（含兵团）新增确诊病例26例，新增无症状感染者10例, siteName: 红星新闻, eventUrl: http://baijiahao.baidu.com/s?id=1674324177292404207, homepageUrl: https://baijiahao.baidu.com/u?app_id=1561825967470087, item_avatar: http://pic.rmb.bdstatic.com/bjh/user/b5b87556f7efcdf3c67fb0fd355dcaac.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: DeprecationWarning: invalid escape sequence '\\/'\n"
]
}
],
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import re \n",
"import json \n",
"# 定义实时国内新闻类\n",
"class insideNews: \n",
" def __init__(self): \n",
" insidenews.eventTime = ''\n",
" self.eventDescription = '' \n",
" self.siteName = '' \n",
" self.eventUrl = '' \n",
" self.homepageUrl = ''\n",
" self.item_avatar = ''\n",
" \n",
" def __str__(self): \n",
" return 'eventTime: %s, eventDescription: %s, siteName: %s, eventUrl: %s, homepageUrl: %s, item_avatar: %s' % (self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar)\n",
"\n",
" \n",
"response = requests.get('https://opendata.baidu.com/data/inner?tn=reserved_all_res_tn&dspName=iphone&from_sf=1&dsp=iphone&resource_id=28565&alr=1&query=%E8%82%BA%E7%82%8E&cb=jsonp_1597231600668_30527&qq-pf-to=pcqq.group') #发送get请求，获得目标服务器相应 \n",
"html = response.content.decode('unicode-escape')# 解码 \n",
"soup = BeautifulSoup(html)# 构建soup对象 \n",
"tag = soup.find('p')# 查找指定标签\n",
"tagstr = tag.string# 转换成字符串\n",
"results = re.findall(r'(\\{\"bjh_na\".*?\"eventDescription\":.*?\\})', tagstr)# 使用正则表达式查找所有的实时新闻\n",
"\n",
"all_insidenews = [] \n",
"for item in results:\n",
" insidenews = insideNews() \n",
" print(item)\n",
" itemjson = json.loads(item) \n",
" insidenews.eventTime = itemjson['eventTime']\n",
" insidenews.eventDescription = itemjson['eventDescription'] \n",
" insidenews.siteName = itemjson['siteName'] \n",
" insidenews.eventUrl = itemjson['eventUrl'] \n",
" insidenews.homepageUrl = itemjson['homepageUrl'] \n",
" insidenews.item_avatar = itemjson['item_avatar'] \n",
" \n",
" all_insidenews.append(insidenews) \n",
" \n",
"for insidenews in all_insidenews: \n",
" print(insidenews) \n",
" print('+++++' * 10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 获取国外疫情实时滚动新闻播报数据"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"eventTime: 1597275291, eventDescription: 日增5.5万，巴西新冠肺炎确诊病例超316万例, siteName: 人民日报, eventUrl: http://baijiahao.baidu.com/s?id=1674864544431254391, homepageUrl: https://baijiahao.baidu.com/u?app_id=1593743208952652, item_avatar: http://pic.rmb.bdstatic.com/53864a5e77b735000396c815760f7b4c.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1597273097, eventDescription: 一文读懂全球疫情：全球累计确诊超2076万例 美国现另一场公共卫生危机, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674862818784287730, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1597272142, eventDescription: 「战疫全时区」美国单日新增确诊病例逾4.8万例 累计超535万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674861714204253861, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1597187332, eventDescription: 美国确诊超513万，死亡超16.4万例，超38万儿童感染, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674772303894901158, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1597186109, eventDescription: 一文读懂全球疫情：全球累计确诊超2048万例 俄罗斯注册首款新冠疫苗, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674771802796395216, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1597108712, eventDescription: 全球2000万+！确诊数前三的国家，疫情形势怎么样了？, siteName: 北京日报客户端, eventUrl: http://baijiahao.baidu.com/s?id=1674689865386982063, homepageUrl: https://baijiahao.baidu.com/u?app_id=1601149438053974, item_avatar: http://pic.rmb.bdstatic.com/814a110b34d52c106f9ba99c5d415478.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596926700, eventDescription: 「战疫全时区」美国单日新增确诊病例超6.1万例 累计逾514万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674499173102689654, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596926340, eventDescription: 「战疫全时区」巴西累计确诊病例超301万例 死亡逾10万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674498936636405454, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596860880, eventDescription: 「战疫全时区」印度日增超6.1万例 累计确诊超208万, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674430048790588388, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596840442, eventDescription: 一文读懂全球疫情：全球累计确诊近1950万例 印度累计确诊超过200万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674408972047141586, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596839886, eventDescription: 「战疫全时区」巴西单日新增确诊病例超4.4万例 累计逾296万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674408470860851393, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596839434, eventDescription: 「战疫全时区」美国单日新增确诊病例超6万例 累计逾508万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674407841000149898, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596801592, eventDescription: 8月7日全球疫情观察：至少22国日增确诊超千例 印度累计确诊逾200万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674368083759315686, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596753951, eventDescription: 一文读懂全球疫情：全球累计确诊近1920万例 美国一州长为特朗普接机前确诊, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674318314838065202, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
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"++++++++++++++++++++++++++++++++++++++++++++++++++\n",
"eventTime: 1596708377, eventDescription: 全球新冠肺炎确诊病例超1900万例 死亡病例逾71.1万例, siteName: 人民日报海外网, eventUrl: http://baijiahao.baidu.com/s?id=1674270432508007457, homepageUrl: https://baijiahao.baidu.com/u?app_id=1552864910655429, item_avatar: http://pic.rmb.bdstatic.com/d2f919e031c47d671a5748b5aeafe096.jpeg\n",
"++++++++++++++++++++++++++++++++++++++++++++++++++\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:20: DeprecationWarning: invalid escape sequence '\\/'\n"
]
}
],
"source": [
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import re \n",
"import json \n",
"# 定义实时国外新闻类\n",
"class outsideNews: \n",
" def __init__(self): \n",
" insidenews.eventTime = ''\n",
" self.eventDescription = '' \n",
" self.siteName = '' \n",
" self.eventUrl = '' \n",
" self.homepageUrl = ''\n",
" self.item_avatar = ''\n",
" \n",
" def __str__(self): \n",
" return 'eventTime: %s, eventDescription: %s, siteName: %s, eventUrl: %s, homepageUrl: %s, item_avatar: %s' % (self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar)\n",
"\n",
" \n",
"response = requests.get('https://opendata.baidu.com/data/inner?tn=reserved_all_res_tn&dspName=iphone&from_sf=1&dsp=iphone&resource_id=28565&alr=1&query=%E6%96%B0%E5%86%A0%E8%82%BA%E7%82%8E%E5%9B%BD%E5%A4%96%E7%96%AB%E6%83%85&cb=jsonp_1597232049116_92879&qq-pf-to=pcqq.group') #发送get请求，获得目标服务器相应 \n",
"html = response.content.decode('unicode-escape')# 解码 \n",
"soup = BeautifulSoup(html)# 构建soup对象 \n",
"tag = soup.find('p')# 查找指定标签\n",
"tagstr = tag.string# 转换成字符串\n",
"results = re.findall(r'(\\{\"bjh_na\".*?\"eventDescription\":.*?\\})', tagstr)# 使用正则表达式查找所有的实时新闻\n",
"\n",
"all_outsidenews = [] \n",
"for item in results:\n",
" outsidenews = outsideNews() \n",
" itemjson = json.loads(item) \n",
" outsidenews.eventTime = itemjson['eventTime']\n",
" outsidenews.eventDescription = itemjson['eventDescription'] \n",
" outsidenews.siteName = itemjson['siteName'] \n",
" outsidenews.eventUrl = itemjson['eventUrl'] \n",
" outsidenews.homepageUrl = itemjson['homepageUrl'] \n",
" outsidenews.item_avatar = itemjson['item_avatar'] \n",
" \n",
" all_outsidenews.append(outsidenews) \n",
" \n",
"for outsidenews in all_outsidenews: \n",
" print(outsidenews) \n",
" print('+++++' * 10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 将获取到的国内外实时新闻数据导入数据库中"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" ## 数据库实体类"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"import pymysql\n",
"\n",
"class MyDB:\n",
" def __init__(self, host, user, passwd, db):\n",
" self.conn = pymysql.connect(host, user, passwd, db)\n",
" self.cursor = self.conn.cursor()\n",
" \n",
" def get_insideNews_list_tuple(self, all_insideNews):\n",
" info_tuple = []\n",
" for item in all_insideNews:\n",
" info_tuple.append(item.get_info_tuple())\n",
" return info_tuple\n",
" \n",
" # 保存国内新闻数据\n",
" def save_insideNews_datas(self, all_insideNews):\n",
" sql = 'insert into insideNews_daily_datas(eventTime, eventDescription, siteName, eventUrl, homepageUrl, item_avatar) values(%s,%s,%s,%s,%s,%s)'\n",
" res = self.get_insideNews_list_tuple(all_insideNews)\n",
" \n",
" print('+++ save_insideNews_datas, data len: %d' % len(res))\n",
" try:\n",
" self.cursor.executemany(sql, res)#批处理插入函数，res为元组类型，其中还是元组类型\n",
" self.conn.commit()\n",
" except Exception as e:\n",
" print(e)\n",
" print('+++ save_insideNews_datas is over.')\n",
" \n",
" \n",
" \n",
" def get_outsideNews_list_tuple(self, all_outsideNews):\n",
" info_tuple = []\n",
" for item in all_outsideNews:\n",
" info_tuple.append(item.get_info_tuple())\n",
" return info_tuple\n",
" \n",
" #保存国外新闻数据\n",
" def save_outsideNews_datas(self, all_outsideNews):\n",
" sql = 'insert into outsideNews_daily_datas(eventTime, eventDescription, siteName, eventUrl, homepageUrl, item_avatar) values(%s,%s,%s,%s,%s,%s)'\n",
" res = self.get_outsideNews_list_tuple(all_outsideNews)\n",
" \n",
" print('+++ save_outsideNews_datas, data len: %d' % len(res))\n",
" try:\n",
" self.cursor.executemany(sql, res)#批处理插入函数，res为元组类型，其中还是元组类型\n",
" self.conn.commit()\n",
" except Exception as e:\n",
" print(e)\n",
" print('+++ save_outsideNews_datas is over.')\n",
" \n",
" def __del__(self):\n",
" if self.conn is not None:\n",
" self.conn.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 国内新闻"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:33: DeprecationWarning: invalid escape sequence '\\/'\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+++ save_insideNews_datas, data len: 37\n",
"+++ save_insideNews_datas is over.\n"
]
}
],
"source": [
"import requests\n",
"import re\n",
"from bs4 import BeautifulSoup\n",
"import json\n",
" \n",
"\n",
"# 定义实时国内新闻类\n",
"class InsideNews: \n",
" def __init__(self): \n",
" self.nid = ''\n",
" self.thread_id = ''\n",
" self.eventTime = '' \n",
" self.eventDescription = '' \n",
" self.siteName = '' \n",
" self.eventUrl = '' \n",
" self.homepageUrl = ''\n",
" self.item_avatar = ''\n",
" \n",
" def __str__(self): \n",
" return 'eventTime: %s, eventDescription: %s, siteName: %s, eventUrl: %s, homepageUrl: %s, item_avatar: %s' % (self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar)\n",
"\n",
" def get_info_tuple(self):\n",
" return ((self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar))\n",
" \n",
"class DataService:\n",
" def __init__(self):\n",
" self.url = 'https://opendata.baidu.com/data/inner?tn=reserved_all_res_tn&dspName=iphone&from_sf=1&dsp=iphone&resource_id=28565&alr=1&query=%E8%82%BA%E7%82%8E&cb=jsonp_1597231600668_30527&qq-pf-to=pcqq.group'\n",
" self.db = MyDB('localhost', 'root', '2000721zsf', 'covid19_datas_guangxi')\n",
" \n",
" #抓取网页\n",
" def fetch_html_page(self):\n",
" res = requests.get(self.url)#发送get请求，获得目标服务器响应\n",
" res = res.content.decode('unicode-escape')#解码\n",
" return res\n",
" \n",
" #解析网页\n",
" def parse_target_page(self, html):\n",
" soup = BeautifulSoup(html)#构建soup对象\n",
" tag = soup.find('p')#查找指定标签\n",
" tagStr = tag.string#转换为字符串\n",
" \n",
" #使用正则表达式查找所有内容，结果返回为list类型(即获取国内实时新闻数据)\n",
" self.insideNews = re.findall(r'(\\{\"bjh_na\".*?\"eventDescription\":.*?\\})',tagStr)\n",
" \n",
" def fetch_insideNews_datas(self):\n",
" all_insideNews = []\n",
" for item in self.insideNews:\n",
" insideNews = InsideNews() \n",
" itemjson = json.loads(item) \n",
" insideNews.eventTime = itemjson['eventTime']\n",
" insideNews.eventDescription = itemjson['eventDescription'] \n",
" insideNews.siteName = itemjson['siteName'] \n",
" insideNews.eventUrl = itemjson['eventUrl'] \n",
" insideNews.homepageUrl = itemjson['homepageUrl'] \n",
" insideNews.item_avatar = itemjson['item_avatar'] \n",
" \n",
" all_insideNews.append(insideNews)\n",
" return all_insideNews\n",
" \n",
" #提取内容生成对象\n",
" def fetch_page_datas(self):\n",
" all_insideNews = self.fetch_insideNews_datas()\n",
" \n",
" # for item in all_insideNews:\n",
" # print(item)\n",
" # print(\"+++++\"*10)\n",
" \n",
" return all_insideNews\n",
" \n",
" #业务函数\n",
" def process_data(self):\n",
" html = self.fetch_html_page()\n",
" self.parse_target_page(html)\n",
" all_insideNews = self.fetch_page_datas()\n",
" \n",
" #保存国内实时播报新闻数据\n",
" self.db.save_insideNews_datas(all_insideNews)\n",
" \n",
"#创建DataService对象\n",
"ds = DataService()\n",
"ds.process_data()\n",
"\n",
"#print(len(ds.insideNews))\n",
"#print(type(ds.insideNews[0]))\n",
"#print(ds.insideNews[0])\n",
"#print()\n",
"#print(ds.outsideNews)\n",
"#print()\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" ## 国外新闻"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"E:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:33: DeprecationWarning: invalid escape sequence '\\/'\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"+++ save_outsideNews_datas, data len: 40\n",
"+++ save_outsideNews_datas is over.\n"
]
}
],
"source": [
"import requests\n",
"import re\n",
"from bs4 import BeautifulSoup\n",
"import json\n",
" \n",
"\n",
"# 定义实时国内新闻类\n",
"class OutsideNews: \n",
" def __init__(self): \n",
" self.nid = ''\n",
" self.thread_id = ''\n",
" self.eventTime = '' \n",
" self.eventDescription = '' \n",
" self.siteName = '' \n",
" self.eventUrl = '' \n",
" self.homepageUrl = ''\n",
" self.item_avatar = ''\n",
" \n",
" def __str__(self): \n",
" return 'eventTime: %s, eventDescription: %s, siteName: %s, eventUrl: %s, homepageUrl: %s, item_avatar: %s' % (self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar)\n",
"\n",
" def get_info_tuple(self):\n",
" return ((self.eventTime, self.eventDescription, self.siteName, self.eventUrl, self.homepageUrl, self.item_avatar))\n",
" \n",
"class DataService:\n",
" def __init__(self):\n",
" self.url = 'https://opendata.baidu.com/data/inner?tn=reserved_all_res_tn&dspName=iphone&from_sf=1&dsp=iphone&resource_id=28565&alr=1&query=%E6%96%B0%E5%86%A0%E8%82%BA%E7%82%8E%E5%9B%BD%E5%A4%96%E7%96%AB%E6%83%85&cb=jsonp_1597232049116_92879&qq-pf-to=pcqq.group'\n",
" self.db = MyDB('localhost', 'root', '2000721zsf', 'covid19_datas_guangxi')\n",
" \n",
" #抓取网页\n",
" def fetch_html_page(self):\n",
" res = requests.get(self.url)#发送get请求，获得目标服务器响应\n",
" res = res.content.decode('unicode-escape')#解码\n",
" return res\n",
" \n",
" #解析网页\n",
" def parse_target_page(self, html):\n",
" soup = BeautifulSoup(html)#构建soup对象\n",
" tag = soup.find('p')#查找指定标签\n",
" tagStr = tag.string#转换为字符串\n",
" \n",
" #使用正则表达式查找所有内容，结果返回为list类型(即获取国内实时新闻数据)\n",
" self.outsideNews = re.findall(r'(\\{\"bjh_na\".*?\"eventDescription\":.*?\\})',tagStr)\n",
" \n",
" def fetch_outsideNews_datas(self):\n",
" all_outsideNews = []\n",
" for item in self.outsideNews:\n",
" outsideNews = OutsideNews() \n",
" itemjson = json.loads(item) \n",
" outsideNews.eventTime = itemjson['eventTime']\n",
" outsideNews.eventDescription = itemjson['eventDescription'] \n",
" outsideNews.siteName = itemjson['siteName'] \n",
" outsideNews.eventUrl = itemjson['eventUrl'] \n",
" outsideNews.homepageUrl = itemjson['homepageUrl'] \n",
" outsideNews.item_avatar = itemjson['item_avatar'] \n",
" \n",
" all_outsideNews.append(outsideNews)\n",
" return all_outsideNews\n",
" \n",
" #提取内容生成对象\n",
" def fetch_page_datas(self):\n",
" all_outsideNews = self.fetch_outsideNews_datas()\n",
" \n",
" # for item in all_insideNews:\n",
" # print(item)\n",
" # print(\"+++++\"*10)\n",
" \n",
" return all_outsideNews\n",
" \n",
" #业务函数\n",
" def process_data(self):\n",
" html = self.fetch_html_page()\n",
" self.parse_target_page(html)\n",
" all_outsideNews = self.fetch_page_datas()\n",
" \n",
" #保存国内实时播报新闻数据\n",
" self.db.save_outsideNews_datas(all_outsideNews)\n",
" \n",
"#创建DataService对象\n",
"ds = DataService()\n",
"ds.process_data()\n",
"\n",
"#print(len(ds.insideNews))\n",
"#print(type(ds.insideNews[0]))\n",
"#print(ds.insideNews[0])\n",
"#print()\n",
"#print(ds.outsideNews)\n",
"#print()\n",
"\n"
]
}
],
"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": "3.7.6"
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"nbformat": 4,
"nbformat_minor": 4
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