Android端疫情数据统计与现实——Android连接Mysql
一:题目要求
二:项目分析
数据爬取:借助python爬虫语句,将疫情数据爬取存储到MySQL;
web端:结合前两周的项目,添加世界范围的疫情数据,以及简单的查询功能;
移动端:Android开发,连接MySQL数据库,实现简单的查询功能;
三:项目结构
mysql:
pycharm:
eclipse:
Android studio
四:源代码
python:
import json import numpy as np import pymysql import requests from bs4 import BeautifulSoup import datetime url = 'https://ncov.dxy.cn/ncovh5/view/pneumonia?from=timeline&isappinstalled=0' #请求地址 headers = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.131 Safari/537.36'}#创建头部信息 response = requests.get(url,headers = headers) #发送网络请求 #print(response.content.decode('utf-8'))#以字节流形式打印网页源码 content = response.content.decode('utf-8') #print(content) soup = BeautifulSoup(content, 'html.parser') listA = soup.find_all(name='script',attrs={"id":"getAreaStat"}) #世界确诊getAreaStat listB = soup.find_all(name='script',attrs={"id":"getListByCountryTypeService2true"}) #listA = soup.find_all(name='div',attrs={"class":"c-touchable-feedback c-touchable-feedback-no-default"}) account = str(listA) world_messages = str(listB)[95:-21] messages = account[52:-21] messages_json = json.loads(messages) print(world_messages) world_messages_json = json.loads(world_messages) valuesList = [] cityList = [] worldList = [] now_time = datetime.datetime.now().strftime('%Y-%m-%d') for k in range(len(world_messages_json)): worldvalue = (now_time, world_messages_json[k].get('countryType'),world_messages_json[k].get('continents'),world_messages_json[k].get('provinceId'),world_messages_json[k].get('provinceName'), world_messages_json[k].get('provinceShortName'),world_messages_json[k].get('cityName'),world_messages_json[k].get('currentConfirmedCount'),world_messages_json[k].get('confirmedCount'), world_messages_json[k].get('suspectedCount'),world_messages_json[k].get('curedCount'),world_messages_json[k].get('deadCount'),world_messages_json[k].get('locationId'), world_messages_json[k].get('countryShortCode'),) worldList.append(worldvalue) for i in range(len(messages_json)): #value = messages_json[i] value = (now_time,messages_json[i].get('provinceName'),messages_json[i].get('provinceShortName'),messages_json[i].get('currentConfirmedCount'),messages_json[i].get('confirmedCount'),messages_json[i].get('suspectedCount'),messages_json[i].get('curedCount'),messages_json[i].get('deadCount'),messages_json[i].get('comment'),messages_json[i].get('locationId'),messages_json[i].get('statisticsData')) valuesList.append(value) cityValue = messages_json[i].get('cities') #print(cityValue) for j in range(len(cityValue)): cityValueList = (cityValue[j].get('cityName'),cityValue[j].get('currentConfirmedCount'),cityValue[j].get('confirmedCount'),cityValue[j].get('suspectedCount'),cityValue[j].get('curedCount'),cityValue[j].get('deadCount'),cityValue[j].get('locationId'),messages_json[i].get('provinceShortName')) #print(cityValueList) cityList.append(cityValueList) #cityList.append(cityValue) db = pymysql.connect("localhost", "root", "123456", "mytest", charset='utf8') cursor = db.cursor() array = np.asarray(valuesList[0]) #sql_clean_world = "TRUNCATE TABLE world_map" sql_clean_city = "TRUNCATE TABLE city_map" sql_clean_json = "TRUNCATE TABLE province_data_from_json" sql_clean_province = "TRUNCATE TABLE province_map" sql_clean_world = "TRUNCATE TABLE world_map" sql1 = "INSERT INTO city_map values (%s,%s,%s,%s,%s,%s,%s,%s)" sql_world = "INSERT INTO world_map values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" #sql = "INSERT INTO province_map values (0,'%s','%s','%s','%s','%s','%s','%s','%s','%s','%s') " sql = "INSERT INTO province_map values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) " #sql = "INSERT INTO province_map (provinceName,provinceShortName,correntConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,comment,locationId,statisticsData) values (0,'%s','%s','%s','%s','%s','%s','%s','%s','%s','%s') " #sql = """INSERT INTO province_map (provinceName,provinceShortName,correntConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,comment,locationId,statisticsData) values ('湖北省', '湖北', 43334, 64786, 0, 18889, 2563, '', 420000, 'https://file1.dxycdn.com/2020/0223/618/3398299751673487511-135.json')""" value_tuple = tuple(valuesList) cityTuple = tuple(cityList) worldTuple = tuple(worldList) print(worldTuple) print(tuple(value_tuple)) try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) #cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调1') db.rollback() try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) #cursor.execute(sql_clean_world) #cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) cursor.executemany(sql_world, worldTuple) db.commit() except: print('执行失败,进入回调2') db.rollback() try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调3') db.rollback() try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) #cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调4') db.rollback() #print(messages_json) #print(account[52:-21]) # soupDiv = BeautifulSoup(listA,'html.parser') # listB = soupDiv.find_all(name='div',attrs={"class":"c-gap-bottom-zero c-line-clamp2"}) #for i in listA: #print(i) #listA[12] #print(listA) db.close()
android:
package com.example.myapplication; import java.sql.Connection; import java.sql.DriverManager; import java.sql.PreparedStatement; import java.sql.ResultSet; import java.sql.SQLException; import java.util.ArrayList; import java.util.List; /** * 数据库工具类:连接数据库用、获取数据库数据用 * 相关操作数据库的方法均可写在该类 */ public class DBUtils { private static String driver = "com.mysql.jdbc.Driver";// MySql驱动 private static String user = "root";// 用户名 private static String password = "123456";// 密码 private static Connection getConn(String dbName) { Connection connection = null; try { Class.forName(driver);// 动态加载类 String ip = "192.168.0.101";// 写成本机地址,不能写成localhost,同时手机和电脑连接的网络必须是同一个 // 尝试建立到给定数据库URL的连接 connection = DriverManager.getConnection("jdbc:mysql://" + ip + ":3306/" + dbName, user, password); } catch (Exception e) { e.printStackTrace(); } return connection; } public static List<information> search(String condition, String country_name){ List<information> list = new ArrayList<>(); Connection connection = getConn("mytest"); String sql = ""; //System.out.println(condition); //选择条件 if(condition.equals("国家")){ //模糊查询 sql = "select * from world_map where provinceName like ?"; } if(condition.equals("时间")){ sql = "select * from world_map where date like ?"; } System.out.println(country_name); if(connection !=null){ try { PreparedStatement ps = connection.prepareStatement(sql); if(ps!=null){ ps.setString(1,"%"+country_name+"%"); ResultSet rs = ps.executeQuery(); if(rs!=null){ while(rs.next()){ information worldData = new information(); worldData.setCountryname(rs.getString("provinceName")); worldData.setConfirmed(rs.getString("confirmedCount")); worldData.setSuspected(rs.getString("suspectedCount")); worldData.setDead(rs.getString("deadCount")); worldData.setHealed(rs.getString("curedCount")); worldData.setLastUpdateTime(rs.getString("date")); list.add(worldData); } connection.close(); ps.close(); return list; }else{ return null; } }else{ return null; } } catch (SQLException e) { e.printStackTrace(); return null; } }else{ return null; } } }