基于 Serverless +企业微信打造 nCoV 疫情监控小助手
最近的一些疫情信息很让人揪心,为了方便大家掌握疫情信息,在空闲之余做了一个关于 nCoV 的疫情监控小助手。主要的功能是通过企业微信的 WebHook 来推送疫情信息。这里将使用 Serverless 的整体代码思路和架构方式分享给大家。本文作者:tabor
实现效果
我们想要实现的大致的效果是这样的:
首先,我们需要解决的是数据来源问题,这里我们可以使用 python 爬虫来做这件事情,但是由于个人比较懒所以直接用的 2019-nCoV-Crawler ,这个项目已经集成了现有的 API,所以我们直接调用即可。当然有能力的同学也可以自己部署 Python,我这边是自己部署的,但是这不是本次的重点,就不在赘述。
现在,我们有了数据,但是数据怎么打到服务器呢?又该如何触发?当然使用 CVM 也是可以的,但是似乎太笨拙,并且消耗量很大,需要自己搭好所有环境。所以,这里我们选用 Serverless 方式来部署。
核心逻辑
我们来看看整体业务的代码部分吧,毕竟这里是整个机器人的核心。我们来看代码(请求三次接口):
<?php
function main_handler($event, $context) {
// 广东省情况
$curlsz = curl_init();
curl_setopt_array($curlsz, array(
CURLOPT_URL => "https://lab.isaaclin.cn/nCoV/api/area?latest=0&province=%E5%B9%BF%E4%B8%9C%E7%9C%81",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 3000,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => array(
"Accept: */*",
"Cache-Control: no-cache",
"Connection: keep-alive",
"Host: lab.isaaclin.cn",
"Postman-Token: 680e5ea7-5c2e-4fb6-9295-7e336f2252c6,abd73e01-2a60-42b5-9bbe-92aa83805a7e",
"User-Agent: PostmanRuntime/7.15.0",
"accept-encoding: gzip, deflate",
"cache-control: no-cache"
),
));
$responsesz = curl_exec($curlsz);
$echo_responsesz = json_decode($responsesz, true);
$err = curl_error($curlsz);
curl_close($curlsz);
// 湖北省情况
$curlhb = curl_init();
curl_setopt_array($curlhb, array(
CURLOPT_URL => "https://lab.isaaclin.cn/nCoV/api/area?latest=0&province=%E6%B9%96%E5%8C%97%E7%9C%81",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 3000,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => array(
"Accept: */*",
"Cache-Control: no-cache",
"Connection: keep-alive",
"Host: lab.isaaclin.cn",
"Postman-Token: 680e5ea7-5c2e-4fb6-9295-7e336f2252c6,abd73e01-2a60-42b5-9bbe-92aa83805a7e",
"User-Agent: PostmanRuntime/7.15.0",
"accept-encoding: gzip, deflate",
"cache-control: no-cache"
),
));
$responsehb = curl_exec($curlhb);
$echo_responsehb = json_decode($responsehb, true);
$err = curl_error($curlhb);
curl_close($curlhb);
// 全国总体情况
$curlall = curl_init();
curl_setopt_array($curlall, array(
CURLOPT_URL => "https://lab.isaaclin.cn/nCoV/api/overall",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 3000,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => array(
"Accept: */*",
"Cache-Control: no-cache",
"Connection: keep-alive",
"Host: lab.isaaclin.cn",
"Postman-Token: 680e5ea7-5c2e-4fb6-9295-7e336f2252c6,abd73e01-2a60-42b5-9bbe-92aa83805a7e",
"User-Agent: PostmanRuntime/7.15.0",
"accept-encoding: gzip, deflate",
"cache-control: no-cache"
),
));
$responseall = curl_exec($curlall);
$echo_responseall = json_decode($responseall, true);
$err = curl_error($curlall);
curl_close($curlall);
//判断是否为深圳地域(这里逻辑写的比较简单,但是够用了)
if ($echo_responsesz[\'results\'][0][\'cities\'][0][\'cityName\'] == \'深圳\') {
$echo_responseszqz = $echo_responsesz[\'results\'][0][\'cities\'][0][\'confirmedCount\'];
$echo_responseszys = $echo_responsesz[\'results\'][0][\'cities\'][0][\'suspectedCount\'];
$echo_responseszzy = $echo_responsesz[\'results\'][0][\'cities\'][0][\'curedCount\'];
$echo_responseszsw = $echo_responsesz[\'results\'][0][\'cities\'][0][\'deadCount\'];
} else {
$echo_responseszqz = $echo_responsesz[\'results\'][0][\'cities\'][1][\'confirmedCount\'];
$echo_responseszys = $echo_responsesz[\'results\'][0][\'cities\'][1][\'suspectedCount\'];
$echo_responseszzy = $echo_responsesz[\'results\'][0][\'cities\'][1][\'curedCount\'];
$echo_responseszsw = $echo_responsesz[\'results\'][0][\'cities\'][1][\'deadCount\'];
}
if ($err) {
echo "cURL Error #:" . $err;
} else {
//疫情监控告警机器人
$sc = $sc=" **2019-nCoV 疫情信息同步:** \n
> 全国疫情:
> 确诊人数<font color=\"info\">".$echo_responseall[\'results\'][0][\'confirmedCount\']."</font>,疑似感染人数<font color=\"info\">".$echo_responseall[\'results\'][0][\'suspectedCount\']."</font>,治愈人数<font color=\"info\">".$echo_responseall[\'results\'][0][\'curedCount\']."</font>,死亡人数<font color=\"info\">".$echo_responseall[\'results\'][0][\'deadCount\']."</font>\n
> 广东省:
> 确诊人数<font color=\"info\">".$echo_responsesz[\'results\'][0][\'confirmedCount\']."</font>,疑似感染人数<font color=\"info\">".$echo_responsesz[\'results\'][0][\'suspectedCount\']."</font>,治愈人数<font color=\"info\">".$echo_responsesz[\'results\'][0][\'curedCount\']."</font>,死亡人数<font color=\"info\">".$echo_responsesz[\'results\'][0][\'deadCount\']."</font>\n
> 湖北省:
> 确诊人数<font color=\"info\">".$echo_responsehb[\'results\'][0][\'confirmedCount\']."</font>,疑似感染人数<font color=\"info\">".$echo_responsehb[\'results\'][0][\'suspectedCount\']."</font>,治愈人数<font color=\"info\">".$echo_responsehb[\'results\'][0][\'curedCount\']."</font>,死亡人数<font color=\"info\">".$echo_responsehb[\'results\'][0][\'deadCount\']."</font>\n
> 深圳市:
> 确诊人数<font color=\"info\">".$echo_responseszqz."</font>,疑似感染人数<font color=\"info\">".$echo_responseszys."</font>,治愈人数<font color=\"info\">".$echo_responseszzy."</font>,死亡人数<font color=\"info\">".$echo_responseszsw."</font>\n
> <font color=\"info\">".$echo_responseall[\'results\'][0][\'note1\']."</font>
> <font color=\"info\">".$echo_responseall[\'results\'][0][\'note2\']."</font>
> <font color=\"info\">".$echo_responseall[\'results\'][0][\'note3\']."</font>
> <font color=\"info\">".$echo_responseall[\'results\'][0][\'remark1\']."</font>
> <font color=\"info\">".$echo_responseall[\'results\'][0][\'remark2\']."</font>
> <font color=\"info\"> 信息出处:".$echo_responseall[\'results\'][0][\'generalRemark\']."</font> \n
>[更多数据请查看](https://news.qq.com/zt2020/page/feiyan.htm) \n
";
$post = array(\'msgtype\' => \'markdown\', \'markdown\' => array(\'content\' => $sc));
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=", //这里的地址填写为企业微信的HOOK路径,https://work.weixin.qq.com/api/doc/90000/90136/91770
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 10,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode($post,JSON_UNESCAPED_UNICODE),
CURLOPT_HTTPHEADER => array(
"Cache-Control: no-cache",
"Postman-Token: ab32082b-ce64-4832-b51f-8f2f1b3e98ef"
),
));
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
return "运行成功";
}
}
?>
是不是很简单呢?请求数据,发送数据。
那么我们接下了重点看下如何将我们的业务代码上传到云端呢?
这里的云端我用的是腾讯云 Serverless 服务 SCF云函数 。整个部署,使用过程都是免费的,对于开发者来讲小项目使用的话免费额度是完全够用的。无需担心额外付费。
Serverless 部署,选用的是比较流行的 Serverless Framework,使用和部署也是完全免费的,那么下面我就来介绍下具体的部署过程吧。
安装 Serverless 框架
首先,第一步,我们来安装一个 Serverless Framework 的开发框架:
$ npm install -g serverless
然后,我们创建一个函数目录:
$ mkdir nCov-function
$ cd nCov-function
相关函数目录的内容如下:
|- code
|- index.php // 这里就是上面的业务代码存放位置
|- serverless.yml //serverless 配置文件
配置 Yml 文件
接下来,是我们的重头戏,配置函数 yml 文件:
# serverless.yml
myFunction:
component: "@serverless/tencent-scf" //引用tencent-scf component
inputs:
name: nCoVFunction //函数名称
enableRoleAuth: true
codeUri: ./code //代码本地存放位置
handler: index.main_handler
runtime: Php5
region: ap-shanghai //函数运行地域
description: My Serverless nCoV Function.
memorySize: 128 //运行内存
timeout: 20 //超时时间
exclude:
- .gitignore
- .git/**
- node_modules/**
- .serverless
- .env
include:
- ./nCoVFunction.zip
environment:
variables:
TEST: vale
vpcConfig:
subnetId: \'\'
vpcId: \'\'
events:
- timer: // 定时触发器
name: timer
parameters:
cronExpression: \'0 0 10,21 * * * *\' //明天早上10点,晚上21点
enable: true
万事具备,我们就可以直接部署 SLS 了。
部署到云端
通过 sls 命令(serverless 的缩写)进行部署,并可以添加 –debug 参数查看部署过程中的信息:
taborchen$ sls --debug
DEBUG ─ Resolving the template\'s static variables.
DEBUG ─ Collecting components from the template.
DEBUG ─ Downloading any NPM components found in the template.
DEBUG ─ Analyzing the template\'s components dependencies.
DEBUG ─ Creating the template\'s components graph.
DEBUG ─ Syncing template state.
DEBUG ─ Executing the template\'s components graph.
DEBUG ─ Compressing function nCoVFunction file to /Users/taborchen/Desktop/工作/yiqing/.ser
verless/nCoVFunction.zip.
DEBUG ─ Compressed function nCoVFunction file successful
DEBUG ─ Uploading service package to cos[sls-cloudfunction-ap-shanghai-code]. sls-cloudfunc
tion-default-nCoVFunction-1580960644.zip
DEBUG ─ Uploaded package successful /Users/taborchen/Desktop/工作/yiqing/.serverless/nCoVFu
nction.zip
DEBUG ─ Creating function nCoVFunction
DEBUG ─ Created function nCoVFunction successful
DEBUG ─ Setting tags for function nCoVFunction
DEBUG ─ Creating trigger for function nCoVFunction
DEBUG ─ Created timer trigger timer for function nCoVFunction success.
DEBUG ─ Deployed function nCoVFunction successful
运行结果如下:
这样,我们就完成了一个 nCoV 的在线触发函数机器人~是不是很简单呢?快来开始动手吧~
传送门:
- GitHub: github.com/serverless
- 官网:serverless.com
欢迎访问:Serverless 中文网,您可以在 最佳实践 里体验更多关于 Serverless 应用的开发!