├── .gitignore ├── .idea ├── .gitignore ├── epidemic_situation_monitor.iml ├── inspectionProfiles │ └── profiles_settings.xml ├── misc.xml ├── modules.xml └── vcs.xml ├── LICENSE ├── README.md ├── __pycache__ ├── app.cpython-37.pyc └── utils.cpython-37.pyc ├── app.py ├── doc.md ├── driver_file └── chromedriver ├── static ├── css │ └── main.css └── js │ ├── china.js │ ├── chinaMap.js │ ├── controller.js │ ├── echarts.js │ └── jquery.js ├── templates └── index.html └── utils.py /.gitignore: -------------------------------------------------------------------------------- 1 | .idea/china_demestic_epidemic.iml 2 | .idea/misc.xml 3 | -------------------------------------------------------------------------------- /.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /shelf/ 3 | /workspace.xml 4 | # Datasource local storage ignored files 5 | /dataSources/ 6 | /dataSources.local.xml 7 | # Editor-based HTTP Client requests 8 | /httpRequests/ 9 | -------------------------------------------------------------------------------- /.idea/epidemic_situation_monitor.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 20 | 21 | -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36'} 29 | r = requests.get(url, headers) 30 | # print(r.text) 31 | ret = json.loads(r.text) 32 | # print(ret) 33 | # print(type(data_all),data_all) 34 | data_all = json.loads(ret['data']) 35 | # print(type(data_all), data_all) 36 | # print(data_all['chinaDayList']) 37 | history_data = {} 38 | # 每天的总人数 39 | for chinaDayList_item in data_all['chinaDayList']: 40 | # print(chinaDayList_item) 41 | # print(i['date']) 42 | date = '2020.' + chinaDayList_item['date'] 43 | # print(type(date), date) # 2020.04.21 44 | date = time.strftime('%Y-%m-%d', time.strptime(date, '%Y.%m.%d')) # 将2020.04.21的时间格式转换成2020-04-21，方便插入到数据库中 45 | # print(date) 46 | confirm_num = chinaDayList_item['confirm'] # 获取确诊人数 47 | # print(confirm_num) 48 | suspect_num = chinaDayList_item['suspect'] # 获取疑似人数 49 | dead_num = chinaDayList_item['dead'] # 获取死亡人数 50 | heal_num = chinaDayList_item['heal'] # 获取治愈人数 51 | history_data[date] = {'confirm_num': confirm_num, 'suspect_num': suspect_num, 'dead_num': dead_num, 52 | 'heal_num': heal_num} 53 | # 每天新增人数 54 | for chinaDayAddList_item in data_all['chinaDayAddList']: 55 | # print(chinaDayAddList_item) 56 | date = '2020.' + chinaDayAddList_item['date'] 57 | # print(type(date), date) # 2020.04.21 58 | date = time.strftime('%Y-%m-%d', time.strptime(date, '%Y.%m.%d')) # 将2020.04.21的时间格式转换成2020-04-21，方便插入到数据库中 59 | # print(date) 60 | confirm_add_num = chinaDayAddList_item['confirm'] # 获取新增确诊人数 61 | # print(confirm_num) 62 | suspect_add_num = chinaDayAddList_item['suspect'] # 获取新增疑似人数 63 | dead_add_num = chinaDayAddList_item['dead'] # 获取新增死亡人数 64 | heal_add_num = chinaDayAddList_item['heal'] # 获取新增治愈人数 65 | history_data[date].update( 66 | {'confirm_add_num': confirm_add_num, 'suspect_add_num': suspect_add_num, 'dead_add_num': dead_add_num, 67 | 'heal_add_num': heal_add_num}) 68 | # print(history_data[date]) 69 | # print(history_data) 70 | return history_data 71 | 72 | 73 | def get_tencent_detail_data(): 74 | ''' 75 | 获取当日详细数据 76 | :return: 当日详细数据 77 | ''' 78 | # 接口地址 79 | url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5' 80 | headers = { 81 | 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36'} 82 | r = requests.get(url, headers) 83 | ret = json.loads(r.text) 84 | data_all = json.loads(ret['data']) 85 | # print(data_all) 86 | lastUpdateTime = data_all['lastUpdateTime'] 87 | # print(lastUpdateTime) 88 | contries_data = data_all['areaTree'] 89 | # print(contry_data) 90 | # print(type(contries_data), len(contries_data)) # 1 91 | prinvices_data = contries_data[0]['children'] 92 | # print(prinvices_data) 93 | detail_data = [] 94 | for prinvices_data_item in prinvices_data: 95 | # print(prinvices_data_item) 96 | province_name = prinvices_data_item['name'] 97 | # print(province_name) 98 | for citis_data in prinvices_data_item['children']: 99 | # print(citis_data) 100 | city_name = citis_data['name'] 101 | city_confirm_num = citis_data['total']['confirm'] 102 | suspect_num = citis_data['total']['suspect'] 103 | heal = citis_data['total']['heal'] 104 | city_add_num = citis_data['today']['confirm'] 105 | detail_data.append( 106 | [lastUpdateTime, province_name, city_name, city_confirm_num, suspect_num, heal, city_add_num]) 107 | return detail_data # list 108 | 109 | 110 | if __name__ == '__main__': 111 | print(get_tencent_history_data()) 112 | # print(get_tencent_detail_data()) 113 | ``` 114 | ###### 2.2 selnium爬取百度热搜 115 | 目标站点分析，爬取的是“今日疫情热搜”： 116 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/20200424204747389.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RoYW5sb24=,size_16,color_FFFFFF,t_70) 117 | 118 | 百度的数据页面使用的是动态渲染技术，`使用普通的请求方式是获取不到数据的`： 119 | ```py 120 | # 使用普通的爬取方式 121 | url = 'https://voice.baidu.com/act/virussearch/virussearch/' 122 | ret = requests.get(url) 123 | print(ret.text) 124 | ``` 125 | `没有爬取我们想要的数据：` 126 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/20200427020347792.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RoYW5sb24=,size_16,color_FFFFFF,t_70) 127 | 但是可以使用selenium模块来爬取，selenium是一个用于web程序测试的工具，直接运行在浏览器上，就如真正的用户在操作一样。安装selenium模块：`pip install selenium -i https://mirrors.aliyun.com/pypi/simple`。此外还需要下载安装浏览器和下载浏览器对应版本的驱动，因为selenium是模拟浏览器工作的。我这里使用的是chrome浏览器，驱动的下载地址是：[http://npm.taobao.org/mirrors/chromedriver/](http://npm.taobao.org/mirrors/chromedriver/)。selenium的基本使用：**① 创建浏览器对象；② 浏览器对象.get()方法向url地址发起请求；③ 利用浏览器打开的地址使用浏览器.find方法查找资源。** 128 | ```py 129 | def get_host_search(): 130 | from selenium.webdriver import Chrome, ChromeOptions 131 | # google chrome的无头模式，即不打开浏览器，后台自动加载数据，可以大幅度提高爬虫效率， 132 | option = ChromeOptions() 133 | option.add_argument('--headless') # 一藏浏览器，可以大幅度提高爬虫效率 134 | option.add_argument('--no-sandbox') # 部署的时候linux还会要求参数，需要禁用sandbox 135 | broswer = Chrome('driver_file/chromedriver', options=option) 136 | url = 'https://voice.baidu.com/act/virussearch/virussearch/' 137 | broswer.get(url) 138 | # print(broswer.page_source) 139 | more = broswer.find_element_by_css_selector( 140 | '#ptab-0 > div > div.VirusHot_1-5-6_32AY4F.VirusHot_1-5-6_2RnRvg > section > div') 141 | # print(more) 142 | more.click() 143 | # more.click() # 点击展开 144 | time.sleep(1) # 等待一定时间 145 | lst = broswer.find_elements_by_xpath('//*[@id="ptab-0"]/div/div[1]/section/a/div/span[2]') # list 146 | for item in lst: 147 | print(item.text) 148 | broswer.close() # 关闭浏览器 149 | 150 | if __name__ == '__main__': 151 | get_host_search() 152 | ``` 153 | `爬取的结果：` 154 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/20200427024545236.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RoYW5sb24=,size_16,color_FFFFFF,t_70) 155 | ##### 3. 数据持久化 156 | ###### 3.1 疫情数据的持久化 157 | mysql数据库操作： 158 | ```sql 159 | # 创建数据库 160 | mysql> create database epidemic_situation default charset utf8; 161 | # 切换到这个数据库 162 | mysql> use epidemic_situation 163 | #创建历史数据表 164 | CREATE TABLE history_data 165 | ( 166 | date DATE COMMENT '日期', 167 | confirm_num INT(11) DEFAULT NULL COMMENT '累积确诊人数', 168 | confirm_add_num INT(11) DEFAULT NULL COMMENT '当日新增确诊人数', 169 | suspect_num INT(11) DEFAULT NULL COMMENT '剩余的疑似人数', 170 | suspect_add_num INT(11) DEFAULT NULL COMMENT '当日新增疑似人数', 171 | heal_num INT(11) DEFAULT NULL COMMENT '累积治愈人数', 172 | heal_add_num INT(11) DEFAULT NULL COMMENT '当日新增治愈人数', 173 | dead_num INT(11) DEFAULT NULL COMMENT '累积死亡人数', 174 | dead_add_num INT(11) DEFAULT NULL COMMENT '当日新增死亡人数', 175 | PRIMARY KEY(date) USING BTREE 176 | )ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; 177 | #创建历史数据表 178 | CREATE TABLE detail_data 179 | ( 180 | id INT(11) AUTO_INCREMENT COMMENT 'id', 181 | lastUpdateTime datetime DEFAULT NULL COMMENT '数据最后更新的时间', 182 | province_name varchar(20) DEFAULT NULL COMMENT '省的名称', 183 | city_name varchar(20) DEFAULT NULL COMMENT '市的名称', 184 | confirm_num INT(11) DEFAULT NULL COMMENT '累积确诊人数', 185 | confirm_add_num INT(11) DEFAULT NULL COMMENT '当日新增确诊人数', 186 | heal_num INT(11) DEFAULT NULL COMMENT '累积治愈人数', 187 | dead_num INT(11) DEFAULT NULL COMMENT '累积死亡人数', 188 | PRIMARY KEY(id) 189 | )ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; 190 | ``` 191 | 持久化到数据库，首先安装pymysql模块：**`pip install pymysql -i https://mirrors.aliyun.com/pypi/simple`** 192 | 193 | 持久化到数据库的业务逻辑： 194 | 195 | utils.py： 196 | ```py 197 | import pymysql 198 | import time 199 | from .get_tencent_data import get_tencent_history_data 200 | from .get_tencent_data import get_tencent_detail_data 201 | import traceback 202 | 203 | 204 | def get_conn(): 205 | ''' 206 | 连接数据库 207 | :return: conn，cursor 208 | ''' 209 | # 建立连接 210 | conn = pymysql.connect(user='root', password='123456', database='epidemic_situation') 211 | # 创建游标 212 | cursor = conn.cursor() 213 | return conn, cursor 214 | 215 | 216 | def cloe_conn(conn, cursor): 217 | ''' 218 | 关闭数据库连接 219 | :param conn: 连接 220 | :param cursor: 游标 221 | :return: None 222 | ''' 223 | if cursor: 224 | cursor.close() 225 | if conn: 226 | conn.close() 227 | 228 | 229 | def insert_history_data(): 230 | ''' 231 | 插入疫情历史数据 232 | :return:None 233 | ''' 234 | conn = None 235 | cursor = None 236 | try: 237 | # print(get_tencent_history_data()) 238 | dic = get_tencent_history_data() 239 | # print(dic)#{'2020-01-13': {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0}……} 240 | print(f'{time.asctime()} 开始插入疫情历史数据') # 开始更新的时间 241 | conn, cursor = get_conn() 242 | sql = 'insert into history_data values (%s,%s,%s,%s,%s,%s,%s,%s,%s)' 243 | for k, v in dic.items(): 244 | # print(key, value) # 2020-01-13 {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0} 245 | cursor.execute(sql, [k, v.get('confirm_num'), v.get('suspect_num'), v.get('dead_num'), 246 | v.get('heal_num'), v.get('confirm_add_num'), v.get('suspect_add_num'), 247 | v.get('dead_add_num'), v.get('heal_add_num')]) 248 | conn.commit() 249 | print(f'{time.asctime()} 插入疫情历史数据完毕') # 开始更新的时间 250 | except: 251 | traceback.print_exc() 252 | finally: 253 | cloe_conn(conn, cursor) 254 | 255 | 256 | def update_history_data(): 257 | ''' 258 | 更新疫情历史数据 259 | :return:None 260 | ''' 261 | conn = None 262 | cursor = None 263 | try: 264 | # print(get_tencent_history_data()) 265 | dic = get_tencent_history_data() 266 | # print(dic)#{'2020-01-13': {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0}……} 267 | print(f'{time.asctime()} 开始更新疫情历史数据') # 开始更新的时间 268 | conn, cursor = get_conn() 269 | sql = 'insert into history_data values (%s,%s,%s,%s,%s,%s,%s,%s,%s)' 270 | sql_query = 'select confirm_num from history_data where date=%s' 271 | # '2020-01-13可以和2020-01-13 00:00:00等价' 272 | for k, v in dic.items(): 273 | # print(k, v) # 2020-01-13 {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0} 274 | if not cursor.execute(sql_query, k): 275 | cursor.execute(sql, [k, v.get('confirm_num'), v.get('suspect_num'), v.get('dead_num'), 276 | v.get('heal_num'), v.get('confirm_add_num'), v.get('suspect_add_num'), 277 | v.get('dead_add_num'), v.get('heal_add_num')]) 278 | else: 279 | print(f'{time.asctime()} 已经是最新疫情历史数据') 280 | conn.commit() 281 | print(f'{time.asctime()} 疫情历史数据更新完毕') # 开始更新的时间 282 | except: 283 | traceback.print_exc() 284 | finally: 285 | cloe_conn(conn, cursor) 286 | 287 | 288 | def update_detail_data(): 289 | ''' 290 | 更新当日疫情详细数据 291 | :return:None 292 | ''' 293 | conn = None 294 | cursor = None 295 | try: 296 | lst = get_tencent_detail_data() 297 | # print(dic) 298 | last_update_time = lst[0][0] 299 | # print(last_update_time) 300 | # print(f'{time.asctime()}') # 开始更新的时间 301 | print(f'{time.asctime()} 开始更新当日疫情最新详细数据') # 开始更新的时间 302 | conn, cursor = get_conn() 303 | sql = 'insert into detail_data(lastUpdateTime,province_name,city_name,confirm_num,confirm_add_num,heal_num,dead_num) values (%s,%s,%s,%s,%s,%s,%s)' 304 | sql_query = 'select %s=(select lastUpdateTime from detail_data order by id desc limit 1)' 305 | cursor.execute(sql_query, last_update_time) 306 | # print(cursor.fetchone()[0]) 307 | if not cursor.fetchone()[0]: 308 | for item in lst: 309 | # print(item) 310 | cursor.execute(sql, item) 311 | conn.commit() # 提交事务，update、delete、inssert 312 | print(f'{time.asctime()} 已完成当日疫情最新详细数据的更新') # 开始更新的时间 313 | else: 314 | print(f'{time.asctime()} 已经是当日疫情最新详细数据的更新') 315 | except: 316 | traceback.print_exc() # 追踪异常的方法，把发生异常的调用堆信息打印出来 317 | finally: 318 | cloe_conn(conn, cursor) 319 | 320 | 321 | if __name__ == '__main__': 322 | insert_history_data() 323 | update_history_data() 324 | update_detail_data() 325 | ``` 326 | ###### 3.2 今日疫情热搜数据的持久化 327 | 创建数据库： 328 | ```sql 329 | create table if not exists host_search 330 | (id int auto_increment, 331 | dt datetime on update current_timestamp, 332 | content varchar(255), 333 | primary key(id) 334 | )engine=innodb default charset=utf8; 335 | ``` 336 | 持久化到数据库的业务逻辑： 337 | 338 | utils.py： 339 | ```py 340 | def storage_host_search(): 341 | conn = None 342 | cursor = None 343 | try: 344 | context = get_host_search() 345 | # print(context) 346 | print(f'{time.asctime()} 开始向数据库中插入今日疫情热搜数据') 347 | conn, cursor = get_conn() 348 | sql = 'insert host_search(dt,content) values(%s,%s)' 349 | # print(context) 350 | dt = time.strftime('%Y-%m-%d %X') 351 | # print(dt) 352 | for item in context: 353 | cursor.execute(sql, (dt, item)) 354 | conn.commit() 355 | print(f'{time.asctime()} 已完成向数据库中插入今日疫情热搜数据') 356 | except: 357 | traceback.print_exc() 358 | finally: 359 | cloe_conn(conn, cursor) 360 | ``` 361 | ##### 4. web开发与可视化 362 | ###### 4.1 可视化大屏模板设计 363 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/20200425140815148.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RoYW5sb24=,size_16,color_FFFFFF,t_70) 364 | >**项目源代码在文章的最下面，仅供参考!!!** 365 | 366 | ###### 4.2 时间的实时更新 367 | 获取服务器时间的后台逻辑： 368 | 369 | get_server_time.py： 370 | ```py 371 | import time 372 | 373 | 374 | def get_server_time(): 375 | time_str = time.strftime('%Y{}%m{}%d %H:%M:%S') # 第二个参数没传就使用当前时间戳 376 | return time_str.format('-', '-') 377 | 378 | 379 | if __name__ == '__main__': 380 | print(get_server_time(), type(get_server_time())) # 2020-04-26 01:04:44 381 | ``` 382 | app.py： 383 | ```py 384 | @app.route('/get_time') 385 | def get_time(): 386 | return get_server_time() 387 | ``` 388 | 前台ajax请求服务器时间逻辑： 389 | 390 | get_time.js： 391 | ```js 392 | function get_time() { 393 | $.ajax({ 394 | url: "/get_time", 395 | timeout: 10000,//超时时间设置为10秒 396 | success: function (data) { 397 | $('#time').html(data); 398 | }, error: function (xhr, type, errorThrown) { 399 | 400 | } 401 | }) 402 | } 403 | 404 | setInterval(get_time, 1000); 405 | ``` 406 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/20200426014830961.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L1RoYW5sb24=,size_16,color_FFFFFF,t_70) 407 | ###### 4.3 疫情概况的实现 408 | 409 | ###### 4.4 全国疫情地图的实现 410 | 411 | ###### 4.5 全国累积与新增趋势的实现 412 | 413 | ###### 4.6 414 | 415 | ###### 4.7 今日热搜的实现 416 | 417 | ##### 5. 项目部署 418 | ###### 5.1 部署流程 419 | ###### 5.2 定时调度爬虫 420 | >**Github：[https://github.com/ThanlonSmith/epidemic_situation_monitor](https://github.com/ThanlonSmith/epidemic_situation_monitor)** -------------------------------------------------------------------------------- /driver_file/chromedriver: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ThanlonSmith/epidemic_situation_monitor/aaeded2f10cc79c837eec2bec70a5cc8da762d0e/driver_file/chromedriver -------------------------------------------------------------------------------- /static/css/main.css: -------------------------------------------------------------------------------- 1 | body { 2 | background-color: #333333; 3 | } 4 | 5 | #title { 6 | /*相对于body定位*/ 7 | position: absolute; 8 | height: 10%; 9 | width: 40%; 10 | top: 0; 11 | left: 30%; 12 | /*background-color: aqua;*/ 13 | font-size: 35px; 14 | color: white; 15 | display: flex; /*弹性布局*/ 16 | align-items: center; 17 | justify-content: center; 18 | } 19 | 20 | #l1 { 21 | /*相对于body定位*/ 22 | position: absolute; 23 | height: 45%; 24 | width: 30%; 25 | top: 10%; 26 | left: 0; 27 | background-color: antiquewhite; 28 | } 29 | 30 | #l2 { 31 | /*相对于body定位*/ 32 | position: absolute; 33 | height: 45%; 34 | width: 30%; 35 | top: 55%; 36 | left: 0; 37 | background-color: aqua; 38 | } 39 | 40 | #c1 { 41 | /*相对于body定位*/ 42 | position: absolute; 43 | height: 30%; 44 | width: 40%; 45 | top: 10%; 46 | left: 30%; 47 | color: white; 48 | } 49 | 50 | .key_info { 51 | width: 25%; 52 | float: left; 53 | display: flex; /*也启用了弹性布局*/ 54 | align-items: center; 55 | justify-content: center; 56 | color: gold; 57 | font-size: 20px; 58 | } 59 | 60 | .txt { 61 | width: 25%; 62 | float: left; 63 | display: flex; /*也启用了弹性布局*/ 64 | align-items: center; 65 | justify-content: center; 66 | } 67 | 68 | #c2 { 69 | /*相对于body定位*/ 70 | position: absolute; 71 | height: 60%; 72 | width: 40%; 73 | top: 40%; 74 | left: 30%; 75 | } 76 | 77 | #time { 78 | /*相对于body定位*/ 79 | position: absolute; 80 | height: 10%; 81 | top: 3.5%; 82 | right: 2%; 83 | color: #ffffff; 84 | font-size: 20px; 85 | } 86 | 87 | #r1 { 88 | /*相对于body定位*/ 89 | position: absolute; 90 | height: 45%; 91 | width: 30%; 92 | top: 10%; 93 | right: 0; 94 | background-color: peru; 95 | } 96 | 97 | #r2 { 98 | /*相对于body定位*/ 99 | position: absolute; 100 | height: 45%; 101 | width: 30%; 102 | top: 55%; 103 | right: 0; 104 | background-color: greenyellow; 105 | } -------------------------------------------------------------------------------- /static/js/china.js: -------------------------------------------------------------------------------- 1 | (function (root, factory) { 2 | if (typeof define === 'function' && define.amd) { 3 | // AMD. Register as an anonymous module. 4 | define(['exports', 'echarts'], factory); 5 | } else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') { 6 | // CommonJS 7 | factory(exports, require('echarts')); 8 | } else { 9 | // Browser globals 10 | factory({}, root.echarts); 11 | } 12 | }(this, function (exports, echarts) { 13 | var log = function (msg) { 14 | if (typeof console !== 'undefined') { 15 | console && console.error && console.error(msg); 16 | } 17 | } 18 | if (!echarts) { 19 | log('ECharts is not Loaded'); 20 | return; 21 | } 22 | if (!echarts.registerMap) { 23 | log('ECharts Map is not loaded') 24 | return; 25 | } 26 | echarts.registerMap('china', 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27 | })); -------------------------------------------------------------------------------- /static/js/chinaMap.js: -------------------------------------------------------------------------------- 1 | var chinaMap = echarts.init(document.getElementById('c2'), "dark"); 2 | // var my_data = [{'name': '湖北', 'value': 318}, {'name': '河南', 'value': 162}] 3 | var ec_china_option = { 4 | title: { 5 | text: '', 6 | subtext: '', 7 | x: 'left' 8 | }, 9 | tooltip: { 10 | trigger: 'item' 11 | }, 12 | //左侧小导航图标 13 | visualMap: { 14 | show: true, 15 | x: 'left', 16 | y: 'bottom', 17 | textStyle: { 18 | fontSize: 8, 19 | }, 20 | splitList: [{start: 1, end: 9}, 21 | {start: 10, end: 99}, 22 | {start: 100, end: 999}, 23 | {start: 1000, end: 9999}, 24 | {start: 10000}], 25 | color: ['#8A3310', '#C64918', '#E55B25', '#F2AD92', '#F9DCD1'] 26 | }, 27 | //配置属性 28 | series: [{ 29 | name: '累计确诊人数', 30 | type: 'map', 31 | mapType: 'china', 32 | roam: false, //拖动和缩放 33 | itemStyle: { 34 | normal: { 35 | borderWidth: .5, //区域边框宽度 36 | borderColor: '#009fe8', //区域边框颜色 37 | areaColor: "#ffefd5", //区域颜色 38 | }, 39 | emphasis: { //鼠标滑过地图高亮的相关设置 40 | borderWidth: .5, 41 | borderColor: '#4b0082', 42 | areaColor: "#fff", 43 | } 44 | }, 45 | label: { 46 | normal: { 47 | show: true, //省份名称 48 | fontSize: 8, 49 | }, 50 | emphasis: { 51 | show: true, 52 | fontSize: 8, 53 | } 54 | }, 55 | data:[] 56 | }] 57 | }; 58 | chinaMap.setOption(ec_china_option) -------------------------------------------------------------------------------- /static/js/controller.js: -------------------------------------------------------------------------------- 1 | function get_time() { 2 | $.ajax({ 3 | url: "/get_time", 4 | timeout: 10000,//超时时间设置为10秒 5 | success: function (data) { 6 | $('#time').html(data); 7 | }, error: function (xhr, type, errorThrown) { 8 | 9 | } 10 | }) 11 | } 12 | 13 | function get_key_info() { 14 | $.ajax({ 15 | url: "/get_key_info", 16 | success: function (data) { 17 | $(".key_info h1").eq(0).text(data.confirm_num); 18 | $(".key_info h1").eq(1).text(data.suspect_num); 19 | $(".key_info h1").eq(2).text(data.heal_num); 20 | $(".key_info h1").eq(3).text(data.dead_num); 21 | }, error: function () { 22 | 23 | } 24 | }) 25 | } 26 | 27 | setInterval(get_time, 1000); 28 | setInterval(get_key_info, 1000) 29 | 30 | function get_china_data() { 31 | $.ajax({ 32 | url: "/get_china_data", 33 | success: function (data) { 34 | // alert(data.data) 35 | ec_china_option.series[0].data = data.data; 36 | chinaMap.setOption(ec_china_option) 37 | }, error: function (xhr, type, errorThrow) { 38 | } 39 | }) 40 | } 41 | 42 | get_china_data() -------------------------------------------------------------------------------- /templates/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 全国新冠肺炎疫情实时追踪 6 | 7 | 8 | 9 |
全国新冠肺炎疫情实时追踪
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左1
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左2
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累积确诊

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累积疑似

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累积治愈

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累积死亡

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右1
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右2
28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | import pymysql 2 | import time 3 | import requests 4 | import json 5 | import traceback 6 | 7 | 8 | def get_server_time(): 9 | ''' 10 | 获取服务器时间 11 | :return: 12 | ''' 13 | time_str = time.strftime('%Y{}%m{}%d %H:%M:%S') # 第二个参数没传就使用当前时间戳 14 | return time_str.format('-', '-') 15 | 16 | 17 | def get_history_data(): 18 | ''' 19 | 获取历史数据 20 | :return:历史数据 21 | ''' 22 | # 接口地址 23 | url = "https://view.inews.qq.com/g2/getOnsInfo?name=disease_other" 24 | # 请求的时候带上请求头，模拟浏览器发送请求 25 | headers = { 26 | 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36'} 27 | r = requests.get(url, headers) 28 | # print(r.text) 29 | ret = json.loads(r.text) 30 | # print(ret) 31 | # print(type(data_all),data_all) 32 | data_all = json.loads(ret['data']) 33 | # print(type(data_all), data_all) 34 | # print(data_all['chinaDayList']) 35 | history_data = {} 36 | # 每天的总人数 37 | for chinaDayList_item in data_all['chinaDayList']: 38 | # print(chinaDayList_item) 39 | # print(i['date']) 40 | date = '2020.' + chinaDayList_item['date'] 41 | # print(type(date), date) # 2020.04.21 42 | date = time.strftime('%Y-%m-%d', time.strptime(date, '%Y.%m.%d')) # 将2020.04.21的时间格式转换成2020-04-21，方便插入到数据库中 43 | # print(date) 44 | confirm_num = chinaDayList_item['confirm'] # 获取确诊人数 45 | # print(confirm_num) 46 | suspect_num = chinaDayList_item['suspect'] # 获取疑似人数 47 | dead_num = chinaDayList_item['dead'] # 获取死亡人数 48 | heal_num = chinaDayList_item['heal'] # 获取治愈人数 49 | history_data[date] = {'confirm_num': confirm_num, 'suspect_num': suspect_num, 'dead_num': dead_num, 50 | 'heal_num': heal_num} 51 | # 每天新增人数 52 | for chinaDayAddList_item in data_all['chinaDayAddList']: 53 | # print(chinaDayAddList_item) 54 | date = '2020.' + chinaDayAddList_item['date'] 55 | # print(type(date), date) # 2020.04.21 56 | date = time.strftime('%Y-%m-%d', time.strptime(date, '%Y.%m.%d')) # 将2020.04.21的时间格式转换成2020-04-21，方便插入到数据库中 57 | # print(date) 58 | confirm_add_num = chinaDayAddList_item['confirm'] # 获取新增确诊人数 59 | # print(confirm_num) 60 | suspect_add_num = chinaDayAddList_item['suspect'] # 获取新增疑似人数 61 | dead_add_num = chinaDayAddList_item['dead'] # 获取新增死亡人数 62 | heal_add_num = chinaDayAddList_item['heal'] # 获取新增治愈人数 63 | history_data[date].update( 64 | {'confirm_add_num': confirm_add_num, 'suspect_add_num': suspect_add_num, 'dead_add_num': dead_add_num, 65 | 'heal_add_num': heal_add_num}) 66 | # print(history_data[date]) 67 | # print(history_data) 68 | return history_data 69 | 70 | 71 | def get_detail_data(): 72 | ''' 73 | 获取当日详细数据 74 | :return: 当日详细数据 75 | ''' 76 | # 接口地址 77 | url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5' 78 | headers = { 79 | 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36'} 80 | r = requests.get(url, headers) 81 | ret = json.loads(r.text) 82 | data_all = json.loads(ret['data']) 83 | # print(data_all) 84 | lastUpdateTime = data_all['lastUpdateTime'] 85 | # print(lastUpdateTime) 86 | contries_data = data_all['areaTree'] 87 | # print(contry_data) 88 | # print(type(contries_data), len(contries_data)) # 1 89 | prinvices_data = contries_data[0]['children'] 90 | # print(prinvices_data) 91 | detail_data = [] 92 | for prinvices_data_item in prinvices_data: 93 | # print(prinvices_data_item) 94 | province_name = prinvices_data_item['name'] 95 | # print(province_name) 96 | for citis_data in prinvices_data_item['children']: 97 | # print(citis_data) 98 | city_name = citis_data['name'] 99 | city_confirm_num = citis_data['total']['confirm'] 100 | suspect_num = citis_data['total']['suspect'] 101 | heal = citis_data['total']['heal'] 102 | city_add_num = citis_data['today']['confirm'] 103 | detail_data.append( 104 | [lastUpdateTime, province_name, city_name, city_confirm_num, suspect_num, heal, city_add_num]) 105 | return detail_data # list 106 | 107 | 108 | def insert_history_data(): 109 | ''' 110 | 插入疫情历史数据 111 | :return:None 112 | ''' 113 | conn = None 114 | cursor = None 115 | try: 116 | # print(get_tencent_history_data()) 117 | dic = get_history_data() 118 | # print(dic)#{'2020-01-13': {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0}……} 119 | print(f'{time.asctime()} 开始插入疫情历史数据') # 开始更新的时间 120 | conn, cursor = get_conn() 121 | sql = 'insert into history_data values (%s,%s,%s,%s,%s,%s,%s,%s,%s)' 122 | for k, v in dic.items(): 123 | # print(key, value) # 2020-01-13 {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0} 124 | cursor.execute(sql, [k, v.get('confirm_num'), v.get('suspect_num'), v.get('dead_num'), 125 | v.get('heal_num'), v.get('confirm_add_num'), v.get('suspect_add_num'), 126 | v.get('dead_add_num'), v.get('heal_add_num')]) 127 | conn.commit() 128 | print(f'{time.asctime()} 插入疫情历史数据完毕') # 开始更新的时间 129 | except: 130 | traceback.print_exc() 131 | finally: 132 | cloe_conn(conn, cursor) 133 | 134 | 135 | def update_history_data(): 136 | ''' 137 | 更新疫情历史数据 138 | :return:None 139 | ''' 140 | conn = None 141 | cursor = None 142 | try: 143 | # print(get_tencent_history_data()) 144 | dic = get_history_data() 145 | # print(dic)#{'2020-01-13': {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0}……} 146 | print(f'{time.asctime()} 开始更新疫情历史数据') # 开始更新的时间 147 | conn, cursor = get_conn() 148 | sql = 'insert into history_data values (%s,%s,%s,%s,%s,%s,%s,%s,%s)' 149 | sql_query = 'select confirm_num from history_data where date=%s' 150 | # '2020-01-13可以和2020-01-13 00:00:00等价' 151 | for k, v in dic.items(): 152 | # print(k, v) # 2020-01-13 {'confirm_num': 41, 'suspect_num': 0, 'dead_num': 1, 'heal_num': 0} 153 | if not cursor.execute(sql_query, k): 154 | cursor.execute(sql, [k, v.get('confirm_num'), v.get('suspect_num'), v.get('dead_num'), 155 | v.get('heal_num'), v.get('confirm_add_num'), v.get('suspect_add_num'), 156 | v.get('dead_add_num'), v.get('heal_add_num')]) 157 | else: 158 | print(f'{time.asctime()} 已经是最新疫情历史数据') 159 | conn.commit() 160 | print(f'{time.asctime()} 疫情历史数据更新完毕') # 开始更新的时间 161 | except: 162 | traceback.print_exc() 163 | finally: 164 | cloe_conn(conn, cursor) 165 | 166 | 167 | def update_detail_data(): 168 | ''' 169 | 更新当日疫情详细数据 170 | :return:None 171 | ''' 172 | conn = None 173 | cursor = None 174 | try: 175 | lst = get_detail_data() 176 | # print(dic) 177 | last_update_time = lst[0][0] 178 | # print(last_update_time) 179 | # print(f'{time.asctime()}') # 开始更新的时间 180 | print(f'{time.asctime()} 开始更新当日疫情最新详细数据') # 开始更新的时间 181 | conn, cursor = get_conn() 182 | sql = 'insert into detail_data(lastUpdateTime,province_name,city_name,confirm_num,confirm_add_num,heal_num,dead_num) values (%s,%s,%s,%s,%s,%s,%s)' 183 | sql_query = 'select %s=(select lastUpdateTime from detail_data order by id desc limit 1)' 184 | cursor.execute(sql_query, last_update_time) 185 | # print(cursor.fetchone()[0]) 186 | if not cursor.fetchone()[0]: 187 | for item in lst: 188 | # print(item) 189 | cursor.execute(sql, item) 190 | conn.commit() # 提交事务，update、delete、inssert 191 | print(f'{time.asctime()} 已完成当日疫情最新详细数据的更新') # 开始更新的时间 192 | else: 193 | print(f'{time.asctime()} 已经是当日疫情最新详细数据的更新') 194 | except: 195 | traceback.print_exc() # 追踪异常的方法，把发生异常的调用堆信息打印出来 196 | finally: 197 | cloe_conn(conn, cursor) 198 | 199 | 200 | def get_conn(): 201 | ''' 202 | 连接数据库 203 | :return: conn，cursor 204 | ''' 205 | # 建立连接 206 | conn = pymysql.connect(user='root', password='123456', database='epidemic_situation') 207 | # 创建游标 208 | cursor = conn.cursor() 209 | return conn, cursor 210 | 211 | 212 | def cloe_conn(conn, cursor): 213 | ''' 214 | 关闭数据库连接 215 | :param conn: 连接 216 | :param cursor: 游标 217 | :return: None 218 | ''' 219 | if cursor: 220 | cursor.close() 221 | if conn: 222 | conn.close() 223 | 224 | 225 | def query(sql, *args): 226 | ''' 227 | 封装通用的查询 228 | :param sql:sql语句 229 | :param args:参数 230 | :return:查询的结果 231 | ''' 232 | conn, cursor = get_conn() 233 | cursor.execute(sql, args) 234 | ret = cursor.fetchall() # 拿到所有数据 235 | cloe_conn(conn, cursor) 236 | return ret 237 | 238 | 239 | def get_epidemic_situation(): 240 | ''' 241 | 获取疫情关键信息 242 | :return: 243 | ''' 244 | sql = 'select sum(confirm_num) as confirm_sum,(select suspect_num from history_data order by date desc limit 1) as suspect_sum,sum(heal_num) as heal_sum,sum(dead_num) as dead_sum from detail_data where lastUpdateTime=(select lastUpdateTime from detail_data order by lastUpdateTime desc limit 1);' 245 | ret = query(sql) 246 | # print(ret) 247 | return ret[0] 248 | 249 | 250 | def get_host_search(): 251 | from selenium.webdriver import Chrome, ChromeOptions 252 | # google chrome的无头模式，即不打开浏览器，后台自动加载数据，可以大幅度提高爬虫效率， 253 | option = ChromeOptions() 254 | option.add_argument('--headless') # 一藏浏览器，可以大幅度提高爬虫效率 255 | option.add_argument('--no-sandbox') # 部署的时候linux还会要求参数，需要禁用sandbox 256 | broswer = Chrome('driver_file/chromedriver', options=option) 257 | url = 'https://voice.baidu.com/act/virussearch/virussearch/' 258 | broswer.get(url) 259 | # print(broswer.page_source) 260 | more = broswer.find_element_by_css_selector( 261 | '#ptab-0 > div > div.VirusHot_1-5-6_32AY4F.VirusHot_1-5-6_2RnRvg > section > div') 262 | # print(more) 263 | more.click() 264 | # more.click() # 点击展开 265 | time.sleep(1) # 等待一定时间 266 | data_lst = broswer.find_elements_by_xpath('//*[@id="ptab-0"]/div/div[1]/section/a/div/span[2]') # list 267 | # for item in lst: 268 | # print(item.text) 269 | # print(data_lst) 270 | context = [item.text for item in data_lst] # 在关闭浏览器之前获取，否则报session失效 271 | broswer.close() # 关闭浏览器 272 | # print(context) 273 | return context 274 | 275 | 276 | def storage_host_search(): 277 | conn = None 278 | cursor = None 279 | try: 280 | context = get_host_search() 281 | # print(context) 282 | print(f'{time.asctime()} 开始向数据库中插入今日疫情热搜数据') 283 | conn, cursor = get_conn() 284 | sql = 'insert host_search(dt,content) values(%s,%s)' 285 | # print(context) 286 | dt = time.strftime('%Y-%m-%d %X') 287 | # print(dt) 288 | for item in context: 289 | cursor.execute(sql, (dt, item)) 290 | conn.commit() 291 | print(f'{time.asctime()} 已完成向数据库中插入今日疫情热搜数据') 292 | except: 293 | traceback.print_exc() 294 | finally: 295 | cloe_conn(conn, cursor) 296 | 297 | 298 | def get_domestic_data(): 299 | ''' 300 | 获取国内各省份当日疫情累积确诊人数 301 | :return: 302 | ''' 303 | conn, cursor = None, None 304 | sql = 'select province_name,sum(confirm_num ) from detail_data where lastUpdateTime = (select lastUpdateTime from detail_data order by lastUpdateTime desc limit 1) group by province_name ;' 305 | ret = query(sql) 306 | # print(ret) 307 | return ret 308 | 309 | 310 | if __name__ == '__main__': 311 | pass 312 | # get_host_search() 313 | # get_epidemic_situation() 314 | # storage_host_search() 315 | get_domestic_data() 316 | --------------------------------------------------------------------------------