{"componentChunkName":"component---src-templates-blog-detail-tsx","path":"/blog/2020-04-08-Serverless-feishu","result":{"data":{"currentBlog":{"id":"8a1a4c70-1042-5f69-b2dd-6254d859e6a2","frontmatter":{"thumbnail":"https://img.serverlesscloud.cn/2020522/1590171266721-%E4%BC%81%E4%B8%9A%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_15901711409297.png","authors":["用户1358150"],"categories":["user-stories"],"date":"2020-04-08T00:00:00.000Z","title":"使用 Serverless + 飞书打造你的个性化消息提醒系统","description":"可以将消息集中起来并且及时推送呢？在这里我想向大家推荐一个解决方案，那就是使用 Serverless + 飞书打造属于自己的个性化消息提醒系统。","authorslink":["https://cloud.tencent.com/developer/article/1610964"],"translators":null,"translatorslink":null,"tags":["Serverless","飞书"],"keywords":"Serverless,飞书,Serverless应用","outdated":true},"wordCount":{"words":208,"sentences":69,"paragraphs":69},"fileAbsolutePath":"/opt/build/repo/content/blog/2020-04-08-Serverless-feishu.md","fields":{"slug":"/blog/2020-04-08-Serverless-feishu/","keywords":["java","serverless","云函数","serverless","serverlesscloud","点击"]},"html":"

一、前言

\n

在日常工作学习生活中，我们可能会遇到以下情形：

\n\n

如果每件事都花时间去关注，那我们的时间必然会不够用，那有没有什么办法可以让这些消息集中起来并且及时推送呢？在这里我想向大家推荐一个解决方案，那就是使用 Serverless + 飞书打造属于自己的个性化消息提醒系统。

\n

二、准备工作

\n
    \n
  1. 首先注册一个飞书账号，然后在飞书网页版登录
    2. \n
  2. 打开飞书开放平台，点击创建企业自建应用，并输入应用名称和应用副标题，然后点击确定创建
    3. \n
\n

\"点击创建企业自建应用\"

\n

\"输入应用名称和应用副标题，然后点击确定创建\"

\n
    \n
  1. 在企业自建应用列表中点击刚刚创建成功的应用，并记录 App ID 和 App Secret
    2. \n
\n

\"记录

\n

二、编写代码

\n
    \n
  1. 在本地新建一个项目目录，名称随意，这里以 feishu-notify 为例
    2. \n
  2. 分别创建 3 个文件：.env，index.py 和 serverless.yml
    3. \n
  3. 按如下说明进行编码
    4. \n
\n

.env

\n\n \n 复制代码\n \n \n
TENCENT_SECRET_ID=AKID********************************\nTENCENT_SECRET_KEY=********************************
\n
\n

注：这里的 TENCENT_SECRET_ID 和 TENCENT_SECRET_KEY 可在腾讯云控制台的访问密钥中获取，如果没有密钥则需要自己新建一个

\n
\n

serverless.yml

\n\n \n 复制代码\n \n \n
myFunction:\n  component: \"@serverless/tencent-scf\"\n  inputs:\n    name: feishu-notify-py\n    codeUri: \"./\"\n    handler: index.main_handler\n    runtime: Python3.6\n    region: ap-guangzhou\n    description: My Serverless Function Used to Notify Myself\n    memorySize: 128\n    events:\n    - apigw:\n        name: serverless\n        parameters:\n          protocols:\n          - https\n          endpoints:\n          - path: \"/\"\n            method: POST
\n
\n

注：可以点击这里查看serverless.yml中所有可用属性的属性列表

\n
\n

index.py

\n\n \n 复制代码\n \n \n
def main_handler(event, context):\n    import requests\n    import json\n    print(event)\n    CONFIG = {\n        \"app_id\": \"********************\",\n        \"app_secret\": \"********************************\"\n    }\n    # my auth\n    if 'myauth' not in event['queryString'] or event['queryString']['myauth'] != 'feishu1':\n        return 'forbidden'\n    # Get content\n    postContent = event['body']\n    try:\n        postContent = json.loads(postContent)\n    except:\n        return 'error in json_loads(line: 19)'\n    if 'content' not in postContent:\n        return 'invalid params'\n    content = postContent['content']\n    # Get tenant_access_token\n    try:\n        res = requests.post('https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal/', {\n            \"app_id\": CONFIG['app_id'],\n            \"app_secret\": CONFIG['app_secret']\n        })\n    except:\n        return 'error in get_tenant_access_token'\n    data = json.loads(res.text)\n    if data['code'] != 0:\n        return data['msg']\n    token = data['tenant_access_token']\n    # Get chat_id\n    try:\n        res = requests.get('https://open.feishu.cn/open-apis/chat/v4/list', headers={\n            'Authorization': 'Bearer %s' % (token)\n        })\n    except:\n        return 'error in get_chat_id'\n    data = json.loads(res.text)\n    if data['code'] != 0:\n        return data['msg']\n    groupList = data['data']['groups']\n    myGroupId = groupList[0]['chat_id']\n    # Send message\n    try:\n        res = requests.post('https://open.feishu.cn/open-apis/message/v4/send/', json={\n            \"chat_id\": myGroupId,\n            \"msg_type\": \"text\",\n            \"content\": {\n                \"text\": content\n            }\n        }, headers={\n            'Authorization': 'Bearer %s' % (token),\n            'Content-Type': 'application/json'\n        })\n    except:\n        return 'error in send message'\n    data = json.loads(res.text)\n    if data['code'] != 0:\n        return data['msg']\n    return 'success'
\n

关于 index.py，这里有几点需要作出说明：

\n
    \n
  1. 代码中的 app_id 和 app_secret 项需填写在准备工作记录的 App ID 和 App Secret
    2. \n
  2. 最终我们使用 POST 方法发送消息
    3. \n
  3. 在调用时，我们还需要在 query 处加上 ?myauth=feishu1，目的是作简单验证以防止他人发送，例如 https://service-********-**********.**.apigw.tencentcs.com/release/?myauth=feishu1
    4. \n
\n

三、部署 Serverless 服务

\n
    \n
  1. 通过 npm 安装 Serverless
    2. \n
\n\n \n 复制代码\n \n \n
$ npm install -g serverless
\n
    \n
  1. 通过serverless命令进行部署，并添加--debug参数查看部署过程中的信息
    2. \n
\n\n \n 复制代码\n \n \n
$ serverless --debug
\n
    \n
  1. 从终端获取 API 网关的 URL
    2. \n
\n

\"serverless\"

\n

获取 API 网关的 URL

\n

四、上线应用

\n
    \n
  1. 回到飞书开放平台，在企业自建应用列表中点击刚刚创建成功的应用
    2. \n
  2. 点击应用功能-机器人，点击启用机器人
    3. \n
\n

\"启用机器人\"

\n
    \n
  1. 点击版本管理与发布-创建版本，参考下图进行配置（先不要点保存）
    2. \n
\n

\"创建版本\"

\n
    \n
  1. 在可用性状态处点击编辑，选择所有员工，然后点击保存
    2. \n
\n

\"配置可用性状态\"

\n
    \n
  1. 点击申请发布
    2. \n
\n

\"申请发布\"

\n
    \n
  1. 点击飞书网页版的头像，进入飞书管理后台
    2. \n
\n

\"进入管理后台\"

\n
    \n
  1. 点击工作台-应用审核，然后点击审核
    2. \n
\n

\"审核应用\"

\n
    \n
  1. 点击通过
    2. \n
\n

五、调用接口

\n

请求方式： POST

\n

请求地址： 上面获取的 APIGateway 的 URL

\n

请求 Header：

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
参数类型必填/选填说明默认值实例
Content-Typestring必填Content-Typeapplication/json
\n

请求 Query：

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
参数类型必填/选填说明默认值实例
myauthstring必填简单验证feishu1
\n

请求 Body：

\n\n \n 复制代码\n \n \n
{\n    \"content\": \"这里填入你想要发送的信息\"\n}
\n

六、效果

\n

为了方便，这里使用 Chrome 浏览器插件 Talend API Tester 进行调用

\n

\"使用

\n

可以看到，飞书的消息推送很及时

\n

\"电脑端效果\"

\n

七、结语

\n

其实利用飞书能实现的并不只有这些而已，我相信聪明的你一定能开发出更加好玩的应用。本次的分享到此结束，感谢各位的浏览！下面分享一些实用的链接：

\n\n
\n
\n
\n
\n

传送门：

\n\n
\n

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！

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