Private PyPI Repositories for ML Libraries in AWS CodeArtifact

Introduction

In this guide, we will set up a private PyPI repository for machine learning libraries using AWS CodeArtifact. AWS CodeArtifact is a fully managed artifact repository service that makes it easy to securely store, publish, and share software packages used in your development process. We will use Pulumi to automate the creation and configuration of the necessary AWS resources.

Step-by-Step Explanation

Step 1: Create an AWS CodeArtifact Domain

First, we will create a CodeArtifact domain. A domain allows grouping multiple repositories together and managing them as a single unit.

Step 2: Create a CodeArtifact Repository

Next, we will create a CodeArtifact repository within the domain. This repository will host our private PyPI packages.

Step 3: Configure Repository Permissions

We will set up the necessary permissions to allow users and services to access the repository. This includes creating an IAM policy and attaching it to the relevant IAM roles or users.

Step 4: Publish Packages to the Repository

Finally, we will demonstrate how to publish Python packages to the CodeArtifact repository and configure pip to use this repository for installing packages.

Conclusion

By following these steps, you will have a private PyPI repository set up in AWS CodeArtifact. This setup will enable you to securely manage and share your machine learning libraries within your organization.

Summary

In this guide, we covered the following steps:

1. Creating an AWS CodeArtifact domain
2. Creating a CodeArtifact repository
3. Configuring repository permissions
4. Publishing packages to the repository

With these steps, you can now manage your machine learning libraries in a private PyPI repository hosted in AWS CodeArtifact.

Full Code Example

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Step 1: Create an AWS CodeArtifact Domain
const domain = new aws.codeartifact.Domain("myDomain", {
    domain: "my-domain",
});

// Step 2: Create a CodeArtifact Repository
const repository = new aws.codeartifact.Repository("myRepository", {
    repository: "my-repository",
    domain: domain.domain,
    description: "My private PyPI repository for machine learning libraries",
});

// Step 3: Configure Repository Permissions
const policyDocument = aws.iam.getPolicyDocumentOutput({
    statements: [{
        actions: [
            "codeartifact:GetRepositoryEndpoint",
            "codeartifact:ReadFromRepository",
            "codeartifact:PublishPackageVersion",
            "codeartifact:ListPackageVersions",
            "codeartifact:ListRepositoriesInDomain",
        ],
        resources: [
            pulumi.interpolate\`\${repository.arn}\`,
        ],
        effect: "Allow",
        principals: [{
            type: "AWS",
            identifiers: ["*"]
        }],
    }],
});

const repositoryPolicy = new aws.codeartifact.RepositoryPermissionsPolicy("myRepositoryPolicy", {
    domain: domain.domain,
    repository: repository.repository,
    policyDocument: policyDocument.json,
});

// Export the repository URL
export const repositoryUrl = pulumi.interpolate\`https://\${domain.domain}.d.codeartifact.\${aws.config.region}.amazonaws.com/\${repository.repository}\`;