{"componentChunkName":"component---src-templates-blog-detail-tsx","path":"/blog/2020-03-09-community-chenyuan","result":{"data":{"currentBlog":{"id":"eb3e239f-0ac6-5381-8a51-26142f95edfc","frontmatter":{"thumbnail":"https://img.serverlesscloud.cn/2020318/1584510373593-lab.jpg","authors":["高晨远"],"categories":["user-stories"],"date":"2020-03-09T00:00:00.000Z","title":"实验室站迁移 Serverless 之路（上）","description":"本文为 Serverless 社区成员撰稿。作者高晨远，研发工程师，熟悉 Python 开发，常写 Web 和爬虫","authorslink":["https://zhuanlan.zhihu.com/ServerlessGo"],"translators":null,"translatorslink":null,"tags":["Serverless","Python"],"keywords":"Serverless Flask 框架,Serverless 框架,Serverless 迁移方案","outdated":true},"wordCount":{"words":305,"sentences":63,"paragraphs":62},"fileAbsolutePath":"/opt/build/repo/content/blog/2020-03-09-community-chenyuan.md","fields":{"slug":"/blog/2020-03-09-community-chenyuan/","keywords":["go","nodejs","python","serverless","无服务器","无服务器架构","云函数","Serverless","serverless","template","components","requirements"]},"html":"

前言

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2 月份，TencentServerless 举办了系列在线课堂分享，讲解了 Serverless 概念、架构、最佳实践以及如何开发一个 component 等技术知识。

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因为对 Serverless 非常感兴趣，每次都参加了直播学习并提交了课堂作业，一路下来感觉还不错，因此决定把自己的实验室站迁移到 Serverless 试试看。

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1. TencentServerless 介绍

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不得不感叹互联网时代科技的进步，之前我的实验室站采用的是传统方法发布网站的环境部署，虽然现在熟悉了操作并不觉得很麻烦，但是对于从来没接触过这块的人来说就比较难懂了。

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而现在有了 Serverless，就可以完全无视上面的操作步骤了，这里引用官网的两段话：

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Serverless Framework 可以帮您以更少的成本和开销, 快速构建 Serverless 应用。它能够完美支持无服务器应用的开发，部署，测试，监控等环节。Serverless 是面向未来的运维方式。

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Serverless 建立在下一代公共云服务之上，该服务仅在使用时自动扩容和收费。当规模，所用容量和成本管理实现自动化时，可节省 99% 的成本管理。

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无服务器架构是全新的，因此我们需要改变先前对老架构和工作流的看法。Serverless Framework 的目标是以一种简单，强大而优雅的使用体验为开发者、团队提供开发和运行 serverless 应用程序所需的所有工具。

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这种方式非常方便，本人现在倒是觉得对于个人开发者来说，如果想构建轻量应用的话，用 Serverless 应该会节省非常多的时间。当然 Serverless 对比传统型应用还是有区别的，目前它并不能完美支持，举一个例子：Flask CLI 就不支持，不过相信随着 Serverless 技术的发展，Serverless 的支持将更加全面。

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对于企业开发者来说也是同理的，想快速上线一套网站的话，部署在一个服务器上倒是好说，可是当访问量上升之后，需要扩容的时候就比较麻烦了，这时候你得在多个服务器上部署并且配置负载均衡等等。

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对我个人来说，我觉得 Serverless 最大的优点在于运维部署方面，通过 Serverless 部署，还是非常方便的。

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2. 安装 Serverless Framework

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Serverless Framework 是基于 Node.js 的开源 CLI，注：需 Node 8+ 全局安装：

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npm install serverless -g
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这里没有使用 cnpm 的原因是因为网络还算 ok 没有特别耗时，另外忘记了之前在哪里看到过 cnpm 不会更新 package-lock.json，因此也就没有再去用第三方源。之后更新的话就

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npm install serverless -g
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官网的快速开始教程之后快速部署了个 demo，即：

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serverless create -t tencent-nodejs
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命令里的 tencent-nodejs 是众多组件中的一个，组件列表：https://github.com/serverless/components

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3. 部署 Python Flask 框架

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因为本人对 Flask 还算熟悉，所以干脆把部署这个 Component 当成 Hello World 好了。其中官网简介里写道：任何支持 WSGI（Web Server Gateway Interface）的 Python 服务端框架都可以通过该组件进行部署，例如 Falcon 框架等。

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1) 创建新项目

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通过 sls 直接根据模板创建服务，Serverless github 上有很多模板 比如：https://github.com/serverless/components/tree/master/templates/tencent-flask

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serverless create --template-url https://github.com/serverless/components/tree/master/templates/tencent-flask
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源码如下：

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# -*- coding: utf8 -*-\n\nimport json\nfrom flask import Flask, jsonify, request\napp = Flask(__name__)\n\n\n@app.route("/")\ndef index():\n    return "Hello Flash"\n\n@app.route('/user', methods = ['POST'])\ndef addUser():\n    # we must get request body from clound function event;\n    event = request.environ['event']\n    user = json.loads(event['body'])\n    return jsonify(data=user)\n\n\n@app.route("/user", methods = ['GET'])\ndef listUser():\n    users = [{'name': 'test1'}, {'name': 'test2'}]\n    return jsonify(data=users)\n\n\n@app.route("/user/<id>", methods = ['GET'])\ndef getUser(id):\n    return jsonify(data={'name': 'test1'})
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在 Pycharm 创建一个新的 Flask 项目：LAB_Serverless 以区别之前的 LAB

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\"img\"

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\"img\"

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源码如下：

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from flask import Flask\n\napp = Flask(__name__)\n\n@app.route('/')\ndef hello_world():\n    return 'Hello World!'\n\nif __name__ == '__main__':\n    app.run()
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2) 配置Serverless

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MyComponent:\n  component: '@serverless/tencent-flask'\n  inputs:\n    region: ap-beijing\n    functionName: LAB_Serverless\n    code: ./\n    functionConf:\n      timeout: 10\n      memorySize: 128\n      environment:\n        variables:\n          TEST: value\n          Version: 2020-2-23_21:01:44\n      vpcConfig:\n        subnetId: ''\n        vpcId: ''\n    apigatewayConf:\n      protocol: https\n      environment: test
\n\n
TENCENT_SECRET_ID=<rm>\nTENCENT_SECRET_KEY=<rm>
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3) 部署

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serverless 的缩写是 sls，因此也可以用 sls 简化命令。但是这里报错了……报错的原因是requirements文件夹不存在。

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查看终端

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Microsoft Windows [版本10.0.17763.1039]\n(c) 2018 Microsoft Corporation。保留所有权利。\n\nD:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless>sls --debug\n\n  DEBUG─Resolving the template's static variables.\n  DEBUG─Collecting components from the template.\n  DEBUG─Downloading any NPM components found in the template.\n  DEBUG─Analyzing the template's components dependencies.\n  DEBUG─Creating the template's components graph.\n  DEBUG─Syncing template state.\n  DEBUG─Executing the template's components graph.\n  DEBUG─Compressing function LAB_Serverless file to D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless\\.serverless/LAB_Serverless.zip.\n(node:22500) UnhandledPromiseRejectionWarning: Error: ENOENT: no such file or directory, stat 'D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless\\.\nserverless\\requirements'eploying\n    at Object.statSync (fs.js:946:3)\n    at Object.statSync (C:\\Users\\yuangezhizao\\AppData\\Roaming\\npm\\node_modules\\serverless\\node_modules\\_graceful-fs@4.2.3@graceful-fs\\polyfills.js:308:16\n)\n    at WriteStream.<anonymous> (C:\\Users\\yuangezhizao\\.serverless\\components\\registry\\npm\\@serverless\\tencent-flask@0.2.0\\node_modules\\@serverless\\tencen\nt-flask\\node_modules\\@serverless\\tencent-scf\\library\\utils.js:124:20)\n    at WriteStream.emit (events.js:304:20)\n    at C:\\Users\\yuangezhizao\\.serverless\\components\\registry\\npm\\@serverless\\tencent-flask@0.2.0\\node_modules\\@serverless\\tencent-flask\\node_modules\\grac\neful-fs\\graceful-fs.js:298:14\n    at C:\\Users\\yuangezhizao\\.serverless\\components\\registry\\npm\\@serverless\\tencent-flask@0.2.0\\node_modules\\@serverless\\tencent-flask\\node_modules\\grac\neful-fs\\graceful-fs.js:325:16\n    at C:\\Users\\yuangezhizao\\AppData\\Roaming\\npm\\node_modules\\serverless\\node_modules\\_graceful-fs@4.2.3@graceful-fs\\graceful-fs.js:325:16\n    at FSReqCallback.oncomplete (fs.js:152:23)\n(node:22500) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without\na catch block, or by rejecting a promise which was not handled with .catch(). (rejection id: 1)\n(node:22500) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will termi\nnate the Node.js process with a non-zero exit code.\n\n  194s»MyComponent»canceled\n\n终止批处理操作吗(Y/N)? Y\n\nD:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless>
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然后去 .serverless 文件下的 Template.MyComponent.pyRequirements.json 文件中看到了requirements.txt。这里其实是故意操作的（特意没添加requirements.txt），说明 requirements.txt 必须存在！

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\"img\"

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因此，去创建文件内容为 Flask 的 requirements.txt

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D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless>sls --debug\n\n  DEBUG─Resolving the template's static variables.\n  DEBUG─Collecting components from the template.\n  DEBUG─Downloading any NPM components found in the template.\n  DEBUG─Analyzing the template's components dependencies.\n  DEBUG─Creating the template's components graph.\n  DEBUG─Syncing template state.\n  DEBUG─Executing the template's components graph.\n  DEBUG─Generated requirements from D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless\\requirements.txt in D:\\yuangezhizao\\Documents\\PycharmProje\ncts\\LAB_Serverless\\.serverless\\requirements.txt...\n  DEBUG─Installing requirements from C:\\Users\\yuangezhizao\\AppData\\Local\\Yugasun\\serverless-python-requirements\\Cache\\2a1a661c4e3e6faadab5d001bc10cc3ac\nccf648921aad7c279d94f138eaaf833_slspyc\\requirements.txt ...\n  DEBUG─Using download cache directory C:\\Users\\yuangezhizao\\AppData\\Local\\Yugasun\\serverless-python-requirements\\Cache\\downloadCacheslspyc\n  DEBUG─Running ...\n  DEBUG─Compressing function LAB_Serverless file to D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless\\.serverless/LAB_Serverless.zip.\n  DEBUG─Compressed function LAB_Serverless file successful\n  DEBUG─Uploading service package to cos[sls-cloudfunction-ap-beijing-code]. sls-cloudfunction-default-LAB_Serverless-1582464464.zip\n  DEBUG─Uploaded package successful D:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless\\.serverless/LAB_Serverless.zip\n  DEBUG─Creating function LAB_Serverless\n  DEBUG─Created function LAB_Serverless successful\n  DEBUG─Setting tags for function LAB_Serverless\n  DEBUG─Creating trigger for function LAB_Serverless\n  DEBUG─Deployed function LAB_Serverless successful\n  DEBUG─Starting API-Gateway deployment with name MyComponent.TencentApiGateway in the ap-beijing region\n  DEBUG─Service with ID service-0ok85tqh created.\n  DEBUG─API with id api-ivk6tk0y created.\n  DEBUG─Deploying service with id service-0ok85tqh.\n  DEBUG─Deployment successful for the api named MyComponent.TencentApiGateway in the ap-beijing region.\n\n  MyComponent:\n    region:              ap-beijing\n    functionName:        LAB_Serverless\n    apiGatewayServiceId: service-0ok85tqh\n    url:                 http://service-0ok85tqh-1251901037.bj.apigw.tencentcs.com/test/\n\n  44s»MyComponent»done\n\n\nD:\\yuangezhizao\\Documents\\PycharmProjects\\LAB_Serverless>
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趁机看下部署成功之后的 .serverless 文件夹：

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\"img\"

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这里 Template.MyComponent.TencentCloudFunction.json 即云函数

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{\n  "deployed": {\n    "Name": "LAB_Serverless",\n    "Runtime": "Python3.6",\n    "Handler": "api_service.handler",\n    "MemorySize": 128,\n    "Timeout": 10,\n    "Region": "ap-beijing",\n    "Description": "This is a template function"\n  }\n}
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第三方包全在这里：

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\"img\"

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Template.MyComponent.TencentApiGateway.json 即 API 网关

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{\n  "protocols": [\n    "http"\n  ],\n  "subDomain": "service-0ok85tqh-1251901037.bj.apigw.tencentcs.com",\n  "environment": "test",\n  "region": "ap-beijing",\n  "service": {\n    "value": "service-0ok85tqh",\n    "created": true\n  },\n  "apis": [\n    {\n      "path": "/",\n      "method": "ANY",\n      "apiId": {\n        "value": "api-ivk6tk0y",\n        "created": true\n      }\n    }\n  ]\n}
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也就是说CLI自动帮我们创建SCF并将运行环境一并上传，再创建API 网关配置到SCF的触发器上。

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apigatewayConf:\n    protocol: https\n    environment: test
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到这里demo就搞定了，已经可以正常访问了 。

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\"img\"

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4. 原理深入

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去云函数看实际运行环境，发现把.idea文件夹也给上传了 另外，多了如下俩本地没有的文件：

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\"img\"

\n

\"img\"

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其实这就是Serverless的核心了，Serverless配置静态页面的原理自己是清楚的。比如Hexo就是生成页面之后上传到COS上就能访问了。

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但是，对于动态页面就比较好奇了，这是怎么实现的呢？其实就是靠着serverless.wsgi 这个文件等等。能看到这个模块描述：此模块将 AWS APIGateway 代理请求转换为 WSGI 请求。

\n
"""\nThis module converts an AWS API Gateway proxied request to a WSGI request.\n\nInspired by: https://github.com/miserlou/zappa\n\nAuthor: Logan Raarup <logan@logan.dk>\n"""
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还是相当有意思的。

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5. 迁移 LAB

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接下来就得一点儿一点儿进行迁移了，不难想到应该有非常多的坑的，比如如何访问自己的 MySQL、Redis、 MongoDB，再比如Celery计划任务，自己是用RabbitMQ 的消息队列，这东西要怎么上云？这些问题都是自己需要后期去解决的。毕竟上大学就开始写的网站，有非常非常多的依赖……

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更新日志：当前 git 版本：7a65018，总提交 824 次

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迁移注定是一个大工程，下一篇将详细介绍迁移遇到的各种坑和填坑操作。

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传送门：

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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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