Storing Custom AI Libraries in AWS CodeArtifact

Question

Pulumi · Accepted Answer

AWS CodeArtifact is a fully managed artifact repository service that makes it easy for organizations to securely store, publish, and share software packages used in their software development process. With CodeArtifact, you can host your custom AI libraries and share them across your team, or even publicly, which aids in collaboration and version control within your projects.

To store custom AI libraries in AWS CodeArtifact using Pulumi, you need to perform the following steps:

Create a CodeArtifact domain: A domain is a container for repositories. One domain can have multiple repositories. Domains also ensure that packages with the same name and version are identical across repositories within the domain.
Create a CodeArtifact repository: Within the domain, you create a repository where the AI libraries will be stored.
Define permissions: Optionally, you can set up permissions policies to define who can access the libraries in your repository.

Below is a Pulumi Python program that creates a CodeArtifact domain and a repository. Please refer to the accompanying comments explaining each section of the code.

import pulumi
import pulumi_aws as aws

# Create a CodeArtifact domain
# This acts as a logical grouping of repositories.
# More on domains: https://www.pulumi.com/registry/packages/aws/api-docs/codeartifact/domain/
code_artifact_domain = aws.codeartifact.Domain("my_ai_domain",
    # You can apply tags as needed to organize your AWS resources
    tags={
        "Environment": "Development",
        "Project": "AI_Library_Project"
    }
)

# Create a CodeArtifact repository within the domain created above
# This repository will store the AI libraries.
# Find more at: https://www.pulumi.com/registry/packages/aws/api-docs/codeartifact/repository/
code_artifact_repository = aws.codeartifact.Repository("my_ai_repository",
    domain=code_artifact_domain.name,
    # Optionally define repository-level permissions policies
    # Replace <POLICY_DOCUMENT> with your actual IAM policy document in JSON format
    # permissions_policy_document="<POLICY_DOCUMENT>",
    description="Repository for storing custom AI libraries"
)

# Export the domain and repository names which can be used to configure your CI/CD systems
pulumi.export('domain_name', code_artifact_domain.name)
pulumi.export('repository_name', code_artifact_repository.name)

This Pulumi program sets up the necessary AWS CodeArtifact infrastructure for storing custom AI libraries. You will need to replace <POLICY_DOCUMENT> with an actual IAM policy if you want to define granular access to the repository. This policy document should be in the JSON format that outlines the permissions for users or roles accessing the repository.

Running the Program

To run this program:

Install Pulumi, set up the AWS CLI, and configure your AWS credentials.
Create a new directory, enter it, and run pulumi new python to create a new Pulumi Python project.
Replace the contents of __main__.py with the code provided above.
Run pulumi up to preview and deploy the resources.

This will create a new domain and a repository in AWS CodeArtifact, where you can push and store your custom AI libraries safely and securely. Use the AWS CodeArtifact or AWS CLI commands to push and pull packages to and from your repository.