基於 Serverless +企業微信打造 nCoV 疫情監控小助手

最近的一些疫情信息很讓人揪心,為了方便大家掌握疫情信息,在空閒之餘做了一個關於 nCoV 的疫情監控小助手。主要的功能是通過企業微信的 WebHook 來推送疫情信息。這裡將使用 Serverless 的整體代碼思路和架構方式分享給大家。本文作者:tabor

實現效果

我們想要實現的大致的效果是這樣的:

首先,我們需要解決的是數據來源問題,這裡我們可以使用 python 爬蟲來做這件事情,但是由於個人比較懶所以直接用的 2019-nCoV-Crawler ,這個項目已經集成了現有的 API,所以我們直接調用即可。當然有能力的同學也可以自己部署 Python,我這邊是自己部署的,但是這不是本次的重點,就不在贅述。

現在,我們有了數據,但是數據怎麼打到服務器呢?又該如何觸發?當然使用 CVM 也是可以的,但是似乎太笨拙,並且消耗量很大,需要自己搭好所有環境。所以,這裡我們選用 Serverless 方式來部署。

核心邏輯

我們來看看整體業務的代碼部分吧,畢竟這裡是整個機器人的核心。我們來看代碼(請求三次接口):

<code> "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($curlsz);// 湖北省情況$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);// 全國總體情況$curlall = curl_init();curl_setopt_array($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($curlall);//判斷是否為深圳地域(這裡邏輯寫的比較簡單,但是夠用了)if ($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 #:" . $err;} else {//疫情監控告警機器人$sc = $sc=" **2019-nCoV 疫情信息同步:** \\n> 全國疫情: > 確診人數".$echo_responseall['results'][0]['confirmedCount']."/<font>,疑似感染人數".$echo_responseall['results'][0]['suspectedCount']."/<font>,治癒人數".$echo_responseall['results'][0]['curedCount']."/<font>,死亡人數".$echo_responseall['results'][0]['deadCount']."/<font>\\n> 廣東省: > 確診人數".$echo_responsesz['results'][0]['confirmedCount']."/<font>,疑似感染人數".$echo_responsesz['results'][0]['suspectedCount']."/<font>,治癒人數".$echo_responsesz['results'][0]['curedCount']."/<font>,死亡人數".$echo_responsesz['results'][0]['deadCount']."/<font>\\n> 湖北省: > 確診人數".$echo_responsehb['results'][0]['confirmedCount']."/<font>,疑似感染人數".$echo_responsehb['results'][0]['suspectedCount']."/<font>,治癒人數".$echo_responsehb['results'][0]['curedCount']."/<font>,死亡人數".$echo_responsehb['results'][0]['deadCount']."/<font>\\n> 深圳市: > 確診人數".$echo_responseszqz."/<font>,疑似感染人數".$echo_responseszys."/<font>,治癒人數".$echo_responseszzy."/<font>,死亡人數".$echo_responseszsw."/<font>\\n> ".$echo_responseall['results'][0]['note1']."/<font>> ".$echo_responseall['results'][0]['note2']."/<font>> ".$echo_responseall['results'][0]['note3']."/<font>> ".$echo_responseall['results'][0]['remark1']."/<font>> ".$echo_responseall['results'][0]['remark2']."/<font>> 信息出處:".$echo_responseall['results'][0]['generalRemark']."/<font> \\n>[更多數據請查看](https://news.qq.com/zt2020/page/feiyan.htm) \\n";$post = array('msgtype' => 'markdown', 'markdown' => array('content' => $sc));$curl = curl_init();curl_setopt_array($curl, array( CURLOPT_URL => "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=", //這裡的地址填寫為企業微信的HOOK路徑,https://work.weixin.qq.com/api/doc/90000/90136/91770 CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 10, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode($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 "運行成功"; }}?>/<code>

是不是很簡單呢?請求數據,發送數據。

那麼我們接下了重點看下如何將我們的業務代碼上傳到雲端呢? 這裡的雲端我用的是騰訊雲 Serverless 服務 SCF雲函數 。整個部署,使用過程都是免費的,對於開發者來講小項目使用的話免費額度是完全夠用的。無需擔心額外付費。

Serverless 部署,選用的是比較流行的 Serverless Framework,使用和部署也是完全免費的,那麼下面我就來介紹下具體的部署過程吧。

安裝 Serverless 框架

首先,第一步,我們來安裝一個 Serverless Framework 的開發框架:

<code>$ npm install -g serverless/<code>

然後,我們創建一個函數目錄:

<code>$ mkdir nCov-function$ cd nCov-function/<code>

相關函數目錄的內容如下:

<code>|- code |- index.php // 這裡就是上面的業務代碼存放位置|- serverless.yml //serverless 配置文件/<code>

配置 Yml 文件

接下來,是我們的重頭戲,配置函數 yml 文件:

<code># serverless.ymlmyFunction: component: "@serverless/tencent-scf" //引用tencent-scf component inputs: name: nCoVFunction //函數名稱 enableRoleAuth: true codeUri: ./code //代碼本地存放位置 handler: index.main_handler runtime: Php5 region: ap-shanghai //函數運行地域 description: My Serverless nCoV Function. memorySize: 128 //運行內存 timeout: 20 //超時時間 exclude: - .gitignore - .git/** - node_modules/** - .serverless - .env include: - ./nCoVFunction.zip environment: variables: TEST: vale vpcConfig: subnetId: '' vpcId: '' events: - timer: // 定時觸發器 name: timer parameters: cronExpression: '0 0 10,21 * * * *' //明天早上10點,晚上21點 enable: true/<code>

萬事具備,我們就可以直接部署 SLS 了。

部署到雲端

通過 sls 命令(serverless 的縮寫)進行部署,並可以添加 –debug 參數查看部署過程中的信息:

<code>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/.serverless/nCoVFunction.zip. DEBUG ─ Compressed function nCoVFunction file successful DEBUG ─ Uploading service package to cos[sls-cloudfunction-ap-shanghai-code]. sls-cloudfunction-default-nCoVFunction-1580960644.zip DEBUG ─ Uploaded package successful /Users/taborchen/Desktop/工作/yiqing/.serverless/nCoVFunction.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/<code>

運行結果如下:

這樣,我們就完成了一個 nCoV 的在線觸發函數機器人~是不是很簡單呢?快來開始動手吧~

傳送門:

GitHub: github.com/serverless 官網:serverless.com

原文:https://www.cnblogs.com/serverlesscloud/p/12290602.html