OCI Artifacts as a Shared Repository for AI Tools

Question

Pulumi · Accepted Answer

When setting up an OCI Artifacts repository to serve as a shared repository for AI tools, you are generally looking to facilitate collaboration and version control for your artifacts. The OCI (Oracle Cloud Infrastructure) service provides a registry where you can store various types of artifacts that are part of your software development lifecycle, such as container images or generic artifacts.

In Pulumi, you would make use of the `oci` package to work with resources provided by Oracle Cloud Infrastructure. You would typically be using resources such as `oci.Artifacts.Repository`, `oci.Artifacts.ContainerRepository`, and `oci.Artifacts.GenericArtifact` which allow you to create and manage different types of repositories and artifacts within OCI.

Here’s a program that illustrates how you can create an OCI Artifacts repository and a container repository, suitable for hosting AI tools in a collaborative environment:

```python
import pulumi
import pulumi_oci as oci

# Configuration for your OCI setup
compartment_id = "ocid1.compartment.oc1..exampleuniqueID"  # Replace with your own compartment OCID
repo_display_name = "ai-tools-repository"

# Create an OCI Artifacts Repository
ai_repository = oci.artifacts.Repository("aiToolsRepository",
    compartment_id=compartment_id,
    repository_type="GENERIC",  # You can also use "CONTAINER" for Docker images, etc.
    display_name=repo_display_name,
    is_immutable=True,  # Ensuring artifacts are not changed after they are pushed.
    description="Repository for AI Tool artifacts",
)

# Example to show how to create a container repository if you're dealing with container images
container_repo_display_name = "ai-tools-container-repo"

ai_container_repository = oci.artifacts.ContainerRepository("aiToolsContainerRepository",
    compartment_id=compartment_id,
    is_public=False,  # Determines whether the repository is accessible publicly
    display_name=container_repo_display_name,
    is_immutable=True,  # Ensuring images are not changed after they are pushed.
    readme=oci.artifacts.ContainerRepositoryReadmeArgs(
        format="TEXT",
        content="Repository to store AI Tools container images.",
    ),
)

# Exporting the repository URLs so they can be easily accessed and used elsewhere
pulumi.export("generic_repository_url", ai_repository.repository_url)
pulumi.export("container_repository_url", ai_container_repository.repository_url)
```

In this program, we first import the necessary Pulumi and OCI modules. We then configure the `compartment_id` which is a unique identifier for your OCI resources. Two types of repositories are created:

1. **OCI Artifacts Repository**: This can be used to store generic files and artifacts required for your AI tools. It is created as an immutable repository to ensure that artifacts are not overwritten.

2. **OCI Container Repository**: If you containerize your AI tools, this repository can store Docker container images. It is also created as immutable for the same reasons outlined above.

For each repository, we're exporting the URLs to be able to reference them outside of Pulumi.

Remember to replace `"ocid1.compartment.oc1..exampleuniqueID"` with your own compartment's OCID.

To use this program, ensure you have the Pulumi CLI installed and configured for use with OCI. Then, simply save this code into a file named `__main__.py`, run `pulumi up` in the same directory, and Pulumi will handle the provisioning of these resources for you.