Question

我正在尝试从Windows机器上编译numpy以用于AWS Lambda函数。

我一直在跟踪{strong> serverless-python-requirements 的一个简单示例，以使Lambda打印一个numpy数组。

我从本地目录serverless deploy的virtualenv内部运行../numpy-test

(numpy-test) C:\Users\...\numpy-test>serverless deploy
Serverless: Generated requirements from C:\Users\...\numpy-test\requirements.txt in C:\Users\...\numpy-test\.serverless\requirements.txt...
Serverless: Installing requirements from C:\Users\...\numpy-test\.serverless\requirements\requirements.txt ...
Serverless: Packaging service...
Serverless: Excluding development dependencies...
Serverless: Injecting required Python packages to package...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading artifacts...
Serverless: Uploading service .zip file to S3 (42.86 MB)...
Serverless: Validating template...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...

我的requirements.txt文件仅包含

numpy==1.13.1

我的YML文件如下：

service: numpy-test 

frameworkVersion: ">=1.1.0 <2.0.0"

plugins:
  - serverless-domain-manager
  - serverless-python-requirements
custom:
  pythonRequirements:
    dockerizePip:non-linux

  stage: ${opt:stage, self:provider.stage}
  domains:
    prod: ...
    staging: ...
    dev: ...

使用serverless invoke -f numpy --log上传后尝试测试功能时，出现以下错误

    "errorMessage": "Unable to import module 'handler'"
}
--------------------------------------------------------------------
START RequestId: 24584f5c-5145-4694-b21b-7c6e4700f985 Version: $LATEST
Unable to import module 'handler':
Importing the multiarray numpy extension module failed.  Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control).  Otherwise reinstall numpy.

Original error was: cannot import name 'multiarray'

当我直接从AWS lambda下载依赖项时，看起来该软件包是在Windows中编译的。

this

我已经安装了Docker，据我所知它运行正常。我以前从未使用过它，所以这就是为什么我尝试使用此解决方案而不是在Docker中学习许多新命令的原因。

出了什么问题？

Answer 1

我不确定您的情况到底是怎么回事，但是如果您想在Lambda中使用numpy，请使用numpy和{{1 }}。

要使用它，请将Lambda Layers and the official (AWS) layer添加到serverless.yml中的函数中。

scipy

您可能需要根据要定位的AWS区域更改ARN。

适用于无服务器且无服务器python需求的本机编译python库

1 个答案: