如何启动具有包依赖项的 AWS 云形成堆栈? [英] How to launch an AWS cloud formation stack with package dependencies?
问题描述
我正在努力让这个 repo 运行起来:https://github.com/mydatastack/google-analytics-to-s3.
I'm trying to get this repo going: https://github.com/mydatastack/google-analytics-to-s3.
A 提供了启动 AWS CloudFormation 堆栈的链接但它不再工作，因为包含模板的 S3 存储桶不再处于活动状态.
A link is provided to launch the AWS CloudFormation stack but it is no longer working because the S3 bucket containing the template is no longer active.
因此，我试图通过 sam deploy --guided 自己启动堆栈.这开始构建堆栈，但中途失败并出现以下错误:
As a result I'm trying to launch the stack myself via sam deploy --guided. This starts to build the stack but fails part way through with the following error:
C:\Users\Me\GAS3\cloudformation>sam deploy --guided
Configuring SAM deploy
======================
Looking for config file [samconfig.toml] : Found
Reading default arguments : Success
Setting default arguments for 'sam deploy'
=========================================
Stack Name [GA_2_S3]:
AWS Region [eu-central-1]:
Parameter Name [pipes]:
Parameter Stage [local]:
Parameter AdminEmail [info@project.com]:
Parameter FallbackEmail [info@project.com]:
Parameter S3AlarmPeriod [60]:
#Shows you resources changes to be deployed and require a 'Y' to initiate deploy
Confirm changes before deploy [Y/n]: y
#SAM needs permission to be able to create roles to connect to the resources in your template
Allow SAM CLI IAM role creation [Y/n]: y
Save arguments to configuration file [Y/n]: y
SAM configuration file [samconfig.toml]:
SAM configuration environment [default]:
Looking for resources needed for deployment: Found!
Managed S3 bucket: aws-sam-cli-managed-default-samclisourcebucket-1vcjy21utm1w6
A different default S3 bucket can be set in samconfig.toml
Saved arguments to config file
Running 'sam deploy' for future deployments will use the parameters saved above.
The above parameters can be changed by modifying samconfig.toml
Learn more about samconfig.toml syntax at
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-config.html
File with same data already exists at GA_2_S3/d5396e95465bde0f60dbd769db9fe763, skipping upload
File with same data already exists at GA_2_S3/df3bbd85d54385405a650fc656f1ac19, skipping upload
File with same data already exists at GA_2_S3/2c01865beec56ebee30ae5b24e6f50e3, skipping upload
File with same data already exists at GA_2_S3/4adb166d233b6e3a1badf491522b0bcc, skipping upload
Error: Unable to upload artifact ./collector-ga.yaml referenced by Location parameter of GoogleAnalyticsCollectorStack resource.
Unable to upload artifact ../functions/lambda-layers/paramiko/ referenced by ContentUri parameter of SFTPLayer resource.
Parameter ContentUri of resource SFTPLayer refers to a file or folder that does not exist C:\Users\Me\GAS3\functions\lambda-layers\paramiko
检查文件夹，GitHub上没有./lambda-layers/文件夹或paramiko包.我已经尝试从 GitHub 下载 paramiko 包，然后创建引用的 /functions/lambda-layers/paramiko/ 但这没有用.
Checking the folder, there is no ./lambda-layers/ folder or paramiko package on GitHub. I've tried the downloading paramiko package from GitHub and then creating the referenced /functions/lambda-layers/paramiko/ but this didn't work.
查看./collector-ga.yaml，这是失败的部分:
Looking at ./collector-ga.yaml, this is the section that fails:
SFTPLayer:
Condition: SFTPUploadActivate
Type: AWS::Serverless::LayerVersion
Properties:
LayerName: paramiko
Description: paramkio lib for sftp connect
ContentUri: ../functions/lambda-layers/paramiko/
CompatibleRuntimes:
- python3.7
LicenseInfo: MIT should be added here
RetentionPolicy: Retain
为 paramiko 提供的 ContentUri 位置不在 GitHub 上，因此必须以其他方式构建它，因为原始存储库旨在通过单击按钮启动工作堆栈.
The ContentUri location given for paramiko isn't there on GitHub, so it must be built some other way since the original repo was meant to launch the working stack from a single press of the button.
我的问题是:如何使用所需的 paramiko 包启动此堆栈?
My question is: how do I launch this stack with the required paramiko package?
推荐答案
我的问题是:如何使用所需的 paramiko 包启动此堆栈?
My question is: how do I launch this stack with the required paramiko package?
您需要适当的部署管道.如果您使用的是 AWS，则可以使用 AWS CodePipeline 部署 lambda 函数.由于您有构建依赖项，因此您需要一个构建阶段来实际获取和构建 lambda 部署包或层所需的所有内容.
You need proper deployment pipeline. If you are on AWS, you can deploy lambda functions using AWS CodePipeline. Since you have build dependencies, you would need a build stage that would actual fetch and build all that is needed for your lambda deployment package or layers.
或者您可以使用来自某些预构建或公共层的 paraminco，例如 这个.通过这种方式，您可以将代码与依赖项分离.
Or you can use paraminco from some pre-build or public layers, such as this one. This way you are de-coupling your code from your dependencies.
这篇关于如何启动具有包依赖项的 AWS 云形成堆栈?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
