Azure Container Registry client library for Python

Azure Container Registry allows you to store and manage container images and artifacts in a private registry for all types of container deployments.

Use the client library for Azure Container Registry to:

• List images or artifacts in a registry
• Obtain metadata for images and artifacts, repositories and tags
• Set read/write/delete properties on registry items
• Delete images and artifacts, repositories and tags

Source code | Package (Pypi) | API reference documentation | REST API documentation | Product documentation

Disclaimer

Azure SDK Python packages support for Python 2.7 has ended 01 January 2022. For more information and questions, please refer to https://github.com/Azure/azure-sdk-for-python/issues/20691

Getting started

Install the package

Install the Azure Container Registry client library for Python with pip:

pip install --pre azure-containerregistry

Prerequisites

• Python 3.6 or later is required to use this package.
• You need an Azure subscription and a Container Registry account to use this package.

To create a new Container Registry, you can use the Azure Portal, Azure PowerShell, or the Azure CLI. Here's an example using the Azure CLI:

az acr create --name MyContainerRegistry --resource-group MyResourceGroup --location westus --sku Basic

Authenticate the client

The Azure Identity library provides easy Azure Active Directory support for authentication. The DefaultAzureCredential assumes the AZURE_CLIENT_ID, AZURE_TENANT_ID, and AZURE_CLIENT_SECRET environment variables are set, for more information refer to the Azure Identity environment variables section

# Create a ContainerRegistryClient that will authenticate through Active Directory
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential

endpoint = "https://mycontainerregistry.azurecr.io"
audience = "https://management.azure.com"
client = ContainerRegistryClient(endpoint, DefaultAzureCredential(), audience=audience)

Key concepts

A registry stores Docker images and OCI Artifacts. An image or artifact consists of a manifest and layers. An image's manifest describes the layers that make up the image, and is uniquely identified by its digest. An image can also be "tagged" to give it a human-readable alias. An image or artifact can have zero or more tags associated with it, and each tag uniquely identifies the image. A collection of images that share the same name but have different tags, is referred to as a repository.

For more information please see Container Registry Concepts.

Examples

The following sections provide several code snippets covering some of the most common ACR Service tasks, including:

• List repositories
• List tags with anonymous access
• Set artifact properties
• Delete images

Please note that each sample assumes there is a CONTAINERREGISTRY_ENDPOINT environment variable set to a string containing the https:// prefix and the name of the login server, for example "https://myregistry.azurecr.io".

List repositories

Iterate through the collection of repositories in the registry.

endpoint = os.environ["CONTAINERREGISTRY_ENDPOINT"]

with ContainerRegistryClient(endpoint, DefaultAzureCredential(), audience="https://management.azure.com") as client:
    # Iterate through all the repositories
    for repository_name in client.list_repository_names():
        print(repository_name)

List tags with anonymous access

Iterate through the collection of tags in the repository with anonymous access.

endpoint = os.environ["CONTAINERREGISTRY_ENDPOINT"]

with ContainerRegistryClient(endpoint, DefaultAzureCredential(), audience="https://management.azure.com") as client:
    manifest = client.get_manifest_properties("library/hello-world", "latest")
    print(manifest.repository_name + ": ")
    for tag in manifest.tags:
        print(tag + "\n")

Set artifact properties

Set properties of an artifact.

endpoint = os.environ["CONTAINERREGISTRY_ENDPOINT"]

with ContainerRegistryClient(endpoint, DefaultAzureCredential(), audience="https://management.azure.com") as client:
    # Set permissions on the v1 image's "latest" tag
    client.update_manifest_properties(
        "library/hello-world",
        "latest",
        can_write=False,
        can_delete=False
    )

Delete images

Delete images older than the first three in the repository.

endpoint = os.environ["CONTAINERREGISTRY_ENDPOINT"]

with ContainerRegistryClient(endpoint, DefaultAzureCredential(), audience="https://management.azure.com") as client:
    for repository in client.list_repository_names():
        manifest_count = 0
        for manifest in client.list_manifest_properties(repository, order_by=ArtifactManifestOrder.LAST_UPDATED_ON_DESCENDING):
            manifest_count += 1
            if manifest_count > 3:
                print("Deleting {}:{}".format(repository, manifest.digest))
                client.delete_manifest(repository, manifest.digest)

Troubleshooting

General

ACR client library will raise exceptions defined in Azure Core.

Logging

This library uses the standard logging library for logging.

Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFO level.

Detailed DEBUG level logging, including request/response bodies and unredacted headers, can be enabled on the client or per-operation with the logging_enable keyword argument.

See full SDK logging documentation with examples here.

Optional Configuration

Optional keyword arguments can be passed in at the client and per-operation level. The azure-core reference documentation describes available configurations for retries, logging, transport protocols, and more.

Next steps

• Go further with azure.containerregistry and our samples.
• Watch a demo or deep dive video.
• Read more about the Azure Container Registry service.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit cla.microsoft.com.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.