如何为Alexa的AWSlambda函数添加python库？-HowdoIaddpythonlibrariestoanAWSlambdafunctionforAlexa?

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As it is described in the Amazon official documentation link here It is as simple as just creating a zip of all the folder contents after installing the required packages in your folder where you have your python lambda code.

正如在亚马逊官方文档链接中所描述的那样，在您拥有python lambda代码的文件夹中安装所需的软件包之后，只需创建所有文件夹内容的zip即可。

As Vineeth pointed above in his comment, The very first step in moving from an inline code editor to a zip file upload approach is to change your lambda function handler name under configuration settings to include the python script file name that holds the lambda handler.

正如Vineeth在他的评论中指出的那样，从内联代码编辑器转换为zip文件上载方法的第一步是在配置设置下更改lambda函数处理程序名称，以包含保存lambda处理程序的python脚本文件名。

lambda_handler => {your-python-script-file-name}.lambda_handler.

lambda_handler => {your-python-script-file-name} .lambda_handler。

Other solutions like python-lambda and lambda-uploader help with simplifying the process of uploading and the most importantly LOCAL TESTING. These will save a lot of time in development.

其他解决方案，如python-lambda和lambda-uploader，有助于简化上传过程，最重要的是LOCAL TESTING。这将节省大量的开发时间。

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The official documentation is pretty good. In a nutshell, you need to create a zip file of a directory containing both the code of your lambda function and all external libraries you use at the top level.

官方文档非常好。简而言之，您需要创建一个目录的zip文件，其中包含lambda函数的代码和您在顶级使用的所有外部库。

You can simulate that by deactivating your virtualenv, copying all your required libraries into the working directory (which is always in sys.path if you invoke a script on the command line), and checking whether your script still works.

您可以通过停用virtualenv来模拟它，将所有必需的库复制到工作目录中（如果在命令行上调用脚本，则始终在sys.path中），并检查脚本是否仍然有效。

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You may want to look into using frameworks such as zappa which will handle packaging up and deploying the lambda function for you.

您可能希望使用zappa等框架来处理打包和部署lambda函数。

You can use that in conjunction with flask-ask to have an easier time making Alexa skills. There's even a video tutorial of this (from the zappa readme) here

您可以将其与flask-ask结合使用，以便更轻松地制作Alexa技能。这里甚至还有一个视频教程（来自zappa自述文件）

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Echoing @d3ming's answer, a framework is a good way to go at this point. Creating the deployment package manually isn't impossible, but you'll need to be uploading your packages' compiled code, and if you're compiling that code on a non-linux system, the chance of running into issues with differences between your system and the Lambda function's deployed environment are high.

回应@ d3ming的回答，框架是一个很好的方法。手动创建部署包并非不可能，但是您需要上传软件包的已编译代码，如果您在非Linux系统上编译该代码，则可能会遇到系统之间存在差异的问题并且Lambda函数的部署环境很高。

You can then work around that by compiling your code on a linux machine or Docker container.. but between all that complexity you can get much more from adopting a framework.

然后，您可以通过在Linux机器或Docker容器上编译代码来解决这个问题。但是在所有这些复杂性之间，您可以通过采用框架获得更多。

Serverless is well adopted and has support for custom python packages. It even integrates with Docker to compile your python dependencies and build the deployment package for you.

无服务器很好用，并支持自定义python包。它甚至与Docker集成，以编译您的python依赖项并为您构建部署包。

If you're looking for a full tutorial on this, I wrote one for Python Lambda functions here.

如果您正在寻找关于此的完整教程，我在这里为Python Lambda函数编写了一个。