AWS CodeArtifact, NPM, PyPI, Twine, Django & Demo Project.

Posted by Evereagle on December 07, 2022 in

 

AWS CodeArtifact, NPM, PyPI, Twine, Django & Demo Project.

WS Code Artifact: Secure, scalable, and cost-effective artifact management

Hi Folks,

Today, I am going to describe the AWS CodeArtifact, and it's important aspects. Starting from theoretical & basic knowledge to the implementation of this service. Implementation includes launching a new Linux VM, installation of pre-requisites, and down the line upstream tool NPM, PyPI & Twine explanation. Also, We will create a Demo Project in Django Server and implement/ understand the AWS CodeArtifact in real-time.

Introduction:

AWS CodeArtifact is a fully managed artifact repository service that makes it easy for organizations of any size to securely store, publish, and share software packages used in their software development process. CodeArtifact works with commonly used package managers and builds tools like Maven and Gradle (Java), npm and yarn (JavaScript), or pip and twine (Python).

The pricing for CodeArtifact is based on usage. There is an “always free” tier with 2GB storage and up to 100,000 requests per month. After that, you will pay $0.05 per GB/month for storage and $0.05 per 10,000 requests. You also pay up to $0.09 per GB for data transferred out.

CodeArtifact Flow Diagram

AWS Code Artifact

Pre-requisites for this tutorial:

You should have a basic knowledge of:

• Linux
• Python
• Node
• Django

This entire tutorial will be explained in the below steps:

Step1: AWS Environment Setup

Step 2: Linux & Software installation

Step 3: Connect to your code artifact repo

Step 4: Python installation & PyPI setup

Step 5: Create your own Python Package Twine

Step 6: Artifact creation and upload to AWS Code Artifact

Step 7: Create a new Django Project

Step 8: Verification & conclusion

Let’s START

Now, without making any delay, let’s get our hand dirty with below 8 steps:

Step1: AWS Environment Setup

1. Login to Aws console

2. Create code artifact repo

3. Select Public upstream repositories

a. PyPI

b. NPM

4. Write a domain name

5. Create the repo

Step 2: Linux & Software installation

6. Setup you Linux box

7. Install the prerequisites

a. Python3

b. PIP3

c. AWS CLI version 2.0.21 and newer

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"unzip awscliv2.zipsudo ./aws/installaws --version

d. AWS configure

e. IAM User with CodeArtifact permission

{
"Version": "2012-10-17",
"Statement": [
   {
     "Effect": "Allow",
     "Action": [
          "codeartifact:*"
     ],
     "Resource": "*"
   },
   {       
     "Effect": "Allow",
     "Action": "sts:GetServiceBearerToken",
     "Resource": "*",
     "Condition": {
         "StringEquals": {
             "sts:AWSServiceName": "codeartifact.amazonaws.com"
         }
      }
    }
]
}

Step 3: Connect to you code artifact repo

8. Login into your AWS code artifact repository command for NPM

aws codeartifact login --tool npm --repository varunArtifact --domain varunartifact --domain-owner 276701924684

9. Install Node & it prerequisites

yum install tree -ycurl -sL https://rpm.nodesource.com/setup_10.x | sudo bash -
Yum install nodejs -ynpm --versionnode --versioncurl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.35.3/install.sh | bashnvm --versioncd /opt/nvm --versionnvm install --ltsnode --versionnvm -lsyum install gcc-c++ make

10. Create a new NPM Package

nvm use 12npm install -g aws-cdk

11. Install the package

mkdir npm_packagecd npm_package/npm initnpm publishnpm install maniknpm

You will get an error here, so create a new directory and run following command

cd ../mkdir npmtempcd npmcd npmtemp/npm install maniknpmtree

You can find this code on below link:

git clone https://github.com/manikcloud/CodeArtifact-npm.git

Tree view of your code

vim package-lock.json

You can see your package.json with the above command

{
  "requires": true,
  "lockfileVersion": 1,
  "dependencies": {
    "maniknpm": {
      "version": "1.0.0",
      "resolved": "https://varunartifact-276701924684.d.codeartifact.us-east-1.amazonaws.com:443/npm/varunArtifact/maniknpm/-/maniknpm-1.0.0.tgz",
      "integrity": "sha512-Znm5+nCW+wwEqguBpR8a9fGV6gukdUC4Bdx7QiipXOWoR7Z8kjGoTL7DZhrO/5HaPUB3OHEAaougimSWgY2UaA=="
    }
  }
}

12. Verify your AWS CodeArtifact Repository with newly created package

PYTHON PyPI

Step 4: Python installation & PyPi setup

13. Install Python 3 from Miniconda

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.shsh Miniconda3-latest-Linux-x86_64.sh

14. Login in to your AWS code artifact repository command PyPI

aws codeartifact login --tool pip --repository pypi-store --domain varunartifact --domain-owner 276701924684

15. Install a Django Package

pip install django==2.2

16. Verify your Django package in AWS code artifact

Step 5: Create your own Python Package Twine

17. Log in with twine in you was code artifact & create projects

aws codeartifact login --tool twine --repository pypi-store --domain varunartifact --domain-owner 276701924684mkdir projectscd projects

18. Clone your GitHub repository

git clone https://github.com/manikcloud/AwsCodeArtifact

19. Build your artifacts

python setup.py sdist bdist_wheel

Step 6: Artifact creation and upload AWS Code Artifact

20. Install twine package

pip install twine

21. Upload your build artifact into AWS code artifact

twine upload --repository codeartifact dist/manik_notebookc-1.1.3.tar.gz

22. Verify your Python package in AWS console with new Artifacts

Step 7: Create a new Django project

23. Start a Django project

django-admin startproject djangocodecd djangocode/

24. Clone the Github repo from Github & make necessary changes

https://github.com/manikcloud/AwsCodeArtifact/tree/master/djangocode

25. Run You Django Server on your Linux box

python manage.py runserver 0.0.0.0:8080

Step 8: Verification

26. Verify your version on you AWS console

27. Verify your version on your browser

Step 9: Verify with New version of your Artifact

28. Update your code artifact with the new version of packages

29. Upload into the AWS code artifacts

30. Install your new packages from AWS CodeArtifact

twine upload --repository codeartifact dist/manik_notebookc-1.1.4.tar.gz
pip install manik-notebookc==1.1.4python manage.py runserver 0.0.0.0:8080

31. Verify your version of your code on your AWS console

32. Verify your version of your code on your Browser.