使用无服务器框架将 Python 代码作为 lambda 层共享

这是一个后续问题:这个问题

我正在尝试使用无服务器框架将一些共享 Python 代码作为 lambda 层上传到 AWS Lambda.

I am trying to upload some shared Python code as a lambda layer to AWS Lambda using the serverless framework.

我遵循了@msc 的解决方案(做了一些修改):

I had followed @msc's solution (with some modifications):

第 1 步:创建一个具有以下结构的无服务器项目:

Step 1: Create a serverless project with the following structure:

./
└ serverless.yml
└ common/
    └ python/
        └ Other packages as per requirements.txt
        └ my_shared_script.py - my own package

第 2 步:设置我的 .yml 文件:

Step 2: Setup my .yml file:

service: library
  provider:
    name: aws
    runtime: python3.7
    stage: dev
    region: ap-northeast-1
  layers:
    Common:
      path: common
  resources:
    Outputs:
      CommonLayerExport:
        Value:
          Ref: CommonLambdaLayer
        Export:
          Name: CommonLambdaLayer

第 3 步:将我的需求安装到 common/python/ 文件夹中:

Step 3: Install my requirements into the common/python/ folder:

requirements.txt:

requirements.txt:

pandas==1.0.5

安装要求到文件夹:pip install -r requirements.txt ./common/python/

步骤 1:在我的 .yml 文件中引用来自项目 1 的上传层:

Step 1: Reference the uploaded layer as from Project 1 in my .yml file:

functions:
  hello:
    handler: handler.hello
    layers:
      - arn:aws:lambda:ap-southeast-1:182739821739:layer:Common:1

第 2 步:现在所有导入都可以使用了.来自我的 handler.py:

Step 2: All imports now work. From my handler.py:

import pandas
import my_shared_script

def hello(event, context):
    print(my_shared_script.foo())

函数 foo() 按预期运行.

我现在的问题是 my_shared_script.py 现在与所有已安装的 Python 包位于同一个文件夹中(有很多文件和文件夹)，这使得很难找到和维护我的自己的模块/脚本.

My question now is that my_shared_script.py is now in the same folder as all the installed Python packages (there are a lot of files and folders), which makes it hard to find and maintain my own modules / scripts.

./
└ serverless.yml
└ common/
    └ python/
        └ Other packages as per requirements.txt
    └ lib/
        └ my_shared_script.py - my own package

将我自己的脚本放在单独的文件夹 /lib 中并将所有其他要求安装到 /python 文件夹中是有意义的.

It makes sense for me to put my own scripts in a separate folder /lib and install all other requirements to the /python folder.

但是，如果我使用上面的文件夹结构，代码就会失败.

However, if I use the above folder structure, the code fails.

我已经把它放在我在项目 2 中 handler.py 的顶部，希望脚本能够在 /lib 中找到我的代码.>

I have put this at the top of my handler.py in Project 2, hoping that the script would be able to find my code in /lib.

import os
import sys

CWD = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(0, os.path.abspath(os.path.join(CWD, "../lib")))

我正在努力理解这个无服务器框架中的 Python 路径/文件夹结构......希望有专家可以分享他们的解决方案，谢谢.

I am struggling to understand Python pathing / folder structure in this serverless framework ... Hopefully some expert can share their solution, thank you.